AdvancedBooks – Python Wiki

ISBN 13 : 9781617299919 Manning Publications 275 Pages ( March 2022 ) Book Overview: Python packages are a big manner to share your code and give a productiveness boost to your colleagues and residential district. Whether you ’ re reusing your code internally or contributing to open source, a properly automated system of packaging will save you from time-consuming manual of arms maintenance. Publishing Python Packages teaches you how to easily contribution your Python code with your team and the away world. Learn a repeatable and highly automated work for package maintenance that ’ s based on the best practices, tools, and standards of Python box. Whether you ’ re entirely new to Python packaging or looking for optimum ways to maintain and scale your packages, this fast-paced and engaging guidebook is for you. publisher ‘s Page intuitive Python : productive Development for Projects that last David Muller ISBN 13 : 9781680508239 The Pragmatic Bookshelf 130 Pages ( June 2021 ) Book Overview: Developers power their projects with Python because it emphasizes legibility, ease of use, and entree to a meticulously maintained set of packages and tools. The linguistic process itself continues to improve with every turn : write in Python is full moon of possibility. But to maintain a successful Python project, you need to know more than equitable the speech. You need tooling and instincts to help you make the most out of what ’ s available to you. Use this book as your scout to help you hone your skills and sculpt a Python project that can stand the test of time. publisher ‘s Page Practices of the Python Pro Dane Hillard ISBN 13 : 9781617296086 Manning Publications 248 Pages ( 14 Jan 2020 ) Book Overview: professional developers know the many benefits of writing application code that ’ sulfur clean and jerk, well-organized, and easy to maintain. By learning and following established patterns and best practices, you can take your code and your career to a raw horizontal surface. With Practices of the Python Pro, you ’ ll determine to design professional-level, clean and jerk, easily maintainable software at scale using the fabulously popular scheduling speech, Python. You ’ ll find easy-to-grok examples that use pseudocode and Python to introduce software development best practices, along with dozens of instantaneously utilitarian techniques that will help you code like a pro. publisher ‘s page Network Science with Python and NetworkX Quick Start Guide Edward Platt ISBN 13 : 9781789955316 Packt 190 Pages ( 25 Apr 2019 ) Book Overview: Manipulate and analyze network data with the exponent of Python and NetworkX NetworkX is a lead unblock and open informant box used for network science with the Python program linguistic process. NetworkX can track properties of individuals and relationships, find communities, analyze resilience, detect key network locations, and perform a wide range of crucial tasks. With the late release of version 2, NetworkX has been updated to be more powerful and easy to use. With this bible, you ’ ll be able to choose appropriate network representations, practice NetworkX to build and characterize networks, and uncover insights while working with real-world systems. publisher ‘s foliate Data Science Projects with Python Steve Klosterman ISBN 13 : 9781838551025 Packt 374 Pages ( 29 Apr 2019 ) Book Overview: A case study set about to successful data science projects using Python, lesser panda, and scikit-learn Data Science Projects with Python is designed to give you practical guidance on industry-standard data analysis and machine learn tools in Python, with the avail of naturalistic data. The book will help you understand how you can use pandas and Matplotlib to critically examine a dataset with summary statistics and graph, and extract the insights you seek to derive. With this book, you will have the skills you need to confidently use respective machine learning algorithms to perform detailed data analysis and excerpt meaningful insights from unstructured data. publisher ‘s page Applied Supervised Learning with Python Benjamin Johnston and Ishita Mathur ISBN 13 : 9781789954920 Packt 404 Pages ( 26 Apr 2019 ) Book Overview: Explore the exciting world of machine learning with the fastest growing technology in the world car learning—the ability of a machine to give correct answers based on input data—has revolutionized the way we do business. Applied Supervised Learning with Python provides a full-bodied agreement of how you can apply machine learning techniques in your data skill projects using Python. You ‘ll explore Jupyter Notebooks, the engineering used normally in academician and commercial circles with in-line code running patronize. With this record, you ‘ll be equipped to not only work with machine learning algorithm, but besides be able to create some of your own ! publisher ‘s page Hands-On Unsupervised Learning with Python Giuseppe Bonaccorso ISBN 13 : 9781789348279 Packt 386 Pages ( 28 Feb 2019 ) Book Overview: Discover the skill-sets required to implement respective approaches to Machine Learning with Python Unsupervised learn is about making use of raw, unlabeled data and applying learning algorithm to it to help a machine predict its consequence. With this book, you will explore the concept of unsupervised learn to cluster large sets of data and analyze them repeatedly until the craved consequence is found using Python. With this book, you will have learned the art of unsupervised learning for different real-world challenges. publisher ‘s foliate Mastering Python for Finance – second Edition James Ma Weiming ISBN 13 : 9781789346466 Packt 426 Pages ( 29 Apr 2019 ) Book Overview: Take your fiscal skills to the future floor by mastering up-to-date mathematical and statistical fiscal applications The second edition of Mastering Python for Finance will guide you through carrying out complex fiscal calculations practiced in the diligence of finance by using next-generation methodologies. You will master the Python ecosystem by leveraging publicly available tools to successfully perform research studies and model, and learn to manage risks with the serve of gain examples. With this koran, you will besides be able to apply Python to different prototype in the fiscal diligence and perform effective data analysis. publisher ‘s page Python Parallel Programming Cookbook – second Edition Giancarlo Zaccone ISBN 13 : 9781789533736 Packt 370 Pages ( 6 Sep 2019 ) Book: Implement effective programming techniques in Python to build scalable software that saves time and memory This update edition features up-to-date techniques for building effective coincident applications in Python 3.7. The book introduces latitude program architectures and covers the fundamental recipes for thread-based and process-based parallelism. You ‘ll learn about mutex, semaphores, locks, queues exploiting the thread, and multiprocessing modules, all of which are basic tools to build parallel applications. Recipes on MPI program will help you to synchronize processes using the fundamental message passing techniques with mpi4py. furthermore, you ‘ll get to grips with asynchronous scheduling and how to use the power of the GPU with PyCUDA and PyOpenCL frameworks. last, you ‘ll explore how to design distribute computing systems with Celery and architect Python apps on the cloud using PythonAnywhere, Docker, and serverless applications. With this book, you will be confident in building coincident and high-performing applications in Python. publisher ‘s foliate hands-on Neuroevolution with Python Iaroslav Omelianenko ISBN 13 :9781838824914 Packt 368 pages ( December 24, 2019 ) Book Overview: Neuroevolution is a form of artificial intelligence learning that uses evolutionary algorithms to simplify the work of solving complex tasks in domains such as games, robotics, and the model of natural processes. This book will give you comprehensive insights into substantive neuroevolution concepts and equip you with the skills you need to apply neuroevolution-based algorithms to solve practical, real-world problems. You ‘ll start with learning the cardinal neuroevolution concepts and methods by writing code with Python. You ‘ll besides get hands-on feel with popular Python libraries and cover examples of classical strengthener determine, path design for autonomous agents, and developing agents to autonomously play Atari games. future, you ‘ll learn to solve common and not-so-common challenges in lifelike computing using neuroevolution-based algorithm. late, you ‘ll understand how to apply neuroevolution strategies to existing nervous network designs to improve discipline and inference performance. last, you ‘ll gain clear insights into the topology of neural networks and how neuroevolution allows you to develop complex networks, starting with simple ones. By the end of this reserve, you will not alone have explored existing neuroevolution-based algorithm, but besides have the skills you need to apply them in your inquiry and sour assignments. publisher ‘s page Mastering pandas – second Edition Ashish Kumar ISBN 13 : 9781789343236 Packt Course Length : 20 hours 13 minutes ( 25 Oct 2019 ) Video Overview: Perform advanced data handling tasks using giant panda and become an expert data analyst. giant panda is a popular Python library used by data scientists and analysts worldwide to manipulate and analyze their data. This book presents utilitarian data manipulation techniques in pandas to perform complex data analysis in assorted domains. With this book, you will learn how to perform effective data analysis using pandas on building complex data, and become an adept data analyst or data scientist in the summons. publisher ‘s page Python API Development Fundamentals Jack Huang, Ray Chung, Et aluminum ISBN 13 :9781838983994 Packt 372 Pages ( 22 Nov 2019 ) Book Overview: Learn all that ’ randomness needed to build a in full functional web application from scratch. Python is a flexible lyric that can be used for much more than just script exploitation. By knowing the Python RESTful APIs oeuvre, you can build a knock-down backend for vane applications and fluid applications using Python. You ‘ll take your first steps by building a bare API and learning how the frontend network interface can communicate with the backend. You ‘ll besides learn how to serialize and deserialize objects using the marshmallow library. then, you ‘ll learn how to authenticate and authorize users using Flask-JWT. You ‘ll besides learn how to enhance your APIs by adding utilitarian features, such as e-mail, persona upload, searching, and pagination. You ‘ll wrap up the unharmed book by deploying your apis to the defile. By the end of this reserve, you ‘ll have the confidence and skill to leverage the power of RESTful APIs and Python to build efficient web applications. publisher ‘s page Full-Stack React, Python, and GraphQL [ Video ] Reed Barger ISBN 13 : 9781839215698 Packt Course Length : 6 hours 35 minutes ( 24 Oct 2019 ) Video Overview: Develop impressive, deep full-stack apps with the latest and greatest features of Python, React, and GraphQL This course is for developers bang-up to build complete, full-stack applications with up-to-date React user interfaces, powered by a robust Python backend and using GraphQL on the waiter and customer. This course was designed for developers keen to get ahead of the curve in the latest web technologies, and focuses on how to use GraphQL from front to back, the most current techniques and tools in React ( including React Hooks, Apollo Boost, and Material UI ), and how to combine it all with Python, Django, and Graphene for an amaze push-down list. You ‘ll be building a full-stack app from abrasion with a GraphQL API made with Python ( Django and Graphene ) ; a React customer app with React Hooks and Apollo Boost ; state management React Context ( with useContext ) and Apollo Client State, media file uploads with Cloudinary ; and tons more. This app will be a social music-sharing app called ReactTracks where users can upload and share any music they like, interact with respective tracks by liking them and adding them to their visibility, searching for tracks, adding information about their music, and editing/deleting their tracks. publisher ‘s page Learn Python and Ethical Hacking from Scratch [ Video ] Zaid Sabih ISBN 13:9781839214561 Packt naturally Length : 23 hours 29 minutes ( 11 Oct 2019 ) Video Overview: beginning from scratch and learn both topics simultaneously by writing 20+ hack programs This course is highly virtual but does n’t neglect the theory, so we start by covering some basics for ethical hack and Python program, installing the want software, and then starting to program immediately. so, by the conclusion of the path, you ‘ll have the program skills to write any course of study even if it has nothing to do with hack, but you ‘ll learn to program by programming hack tools ! All the code files are placed at hypertext transfer protocol : //github.com/PacktPublishing/Learn-Python-and-Ethical-Hacking-From-Scratch publisher ‘s page Reinforcement Learning Algorithms with Python Andrea Lonza ISBN 13:9781789131116 Packt 366 Pages ( 18 Oct 2019 ) Book Overview: Develop self-learning algorithm and agents using TensorFlow and early Python tools, frameworks, and libraries support Learning ( RL ) is a democratic and promising arm of AI that involves making smarter models and agents that can automatically determine ideal behaviour based on changing requirements. This book will help you master RL algorithm and understand their execution as you build self-learning agents. By the end of the record, you ‘ll have worked with key RL algorithm to overcome challenges in real-world applications and be separate of the RL research residential district. publisher ‘s page Python A-Z – Learn Python Programming By Building 5 Projects [ Video ] Shubham Sarda ISBN 13 : 9781839212956 Packt Course Length : 12 hours 21 minutes 11 Oct 2019 ( MONTH YEAR ) Video Overview: Python programming masterclass for beginners – learn all about Python 3 with object-oriented concepts, five projects and more ! Welcome to “ Python Programming A-Z – Learn Python Programming by Building Five Projects, ” a course that takes you through your Python travel from founder to progress footstep by footprint. This path touches on every crucial concept of the latest version of Python, Python 3. Throughout the course, we will explore the most essential Python features : After completing this course, you will be cook to work as an intern, fresh, or freelancer, and you will besides be able to implement everything yourself ! Most importantly, you will be ready to use the huge scope offered by Python scheduling. All the codes and supporting files for this course are available at – hypertext transfer protocol : //github.com/PacktPublishing/Python-A-Z — -Learn-Python-Programming-By-Building-5-Projects publisher ‘s page Python Parallel Programming Cookbook – second base Edition Giancarlo Zaccone ISBN 13 : 9781789533736 Packt 370 pages Pages : 11 hours 6 minutes ( 6 Sep 2019 ) Book Overview: Implement effective program techniques in Python to build scalable software that saves time and memory nowadays, it has become highly important for programmers to understand the connection between the software and the parallel nature of their hardware so that their programs run efficiently on calculator architectures. Applications based on latitude programming are fast, robust, and easily scalable. This update version features up-to-date techniques for building effective coincident applications in Python 3.7. The ledger introduces parallel programming architectures and covers the fundamental recipes for thread-based and process-based parallelism. You ‘ll learn about mutex, semaphores, locks, queues exploiting the weave, and multiprocessing modules, all of which are basic tools to build parallel applications. Recipes on MPI program will help you to synchronize processes using the fundamental message passing techniques with mpi4py. furthermore, you ‘ll get to grips with asynchronous program and how to use the power of the GPU with PyCUDA and PyOpenCL frameworks. finally, you ‘ll explore how to design distribute computing systems with Celery and architect Python apps on the defile using PythonAnywhere, Docker, and serverless applications. With this reserve, you will be convinced in building coincident and high-performing applications in Python. publisher ‘s page Python GUI Programming Cookbook – one-third Edition Burkhard Meier ISBN 13 : 9781838827540 Packt 486 Pages ( 11 Oct 2019 ) Book Overview: Over 90 recipes to help you develop widgets, forms, layouts, charts, and a lot more using the latest features of Python 3 Python is a multi-domain, interpreted program lyric that is easy to learn and implement. With its wide subscribe for frameworks to develop GUIs, you can build synergistic and beautiful GUI-based applications easily using Python. This third edition of Python GUI Programming Cookbook follows a task-based approach to help you create effective GUIs with the smallest sum of code. Every recipe in this ledger builds upon the last to create an integral, real-life GUI application. These recipes besides help you solve problems that you might encounter while developing GUIs. This book chiefly focuses on using Python ’ s built-in tkinter GUI framework. You ‘ll learn how to create GUIs in Python using dim-witted scheduling styles and object-oriented program ( OOP ). As you add more widgets and expand your GUI, you will learn how to connect to networks, databases, and graphic libraries that greatly enhance the functionality of your GUI. You ’ ll besides learn how to use threading to ensure that your GUI does n’t become unresponsive. Toward the end, you ’ ll learn about the versatile PyQt GUI model, which comes along with its own ocular editor that allows you to design GUIs using dredge and drop features. By the conclusion of the ledger, you ’ ll be an expert in designing Python GUIs and be able to develop a assortment of GUI applications with ease. publisher ‘s page Python GUI Programming – A complete Reference Guide Alan D. Moore and B.M. Harwani ISBN 13 : 9781838988470 Packt 746 Pages ( 24 Jun 2019 ) Book Overview: research Python ’ s GUI frameworks and create visually arresting and feature-rich applications This Learning Path begins by introducing you to Tkinter and PyQt, before guiding you through the application development process. As you expand your graphical user interface by adding more widgets, you ‘ll work with networks, databases, and graphic libraries that enhance its functionality. You ‘ll besides learn how to connect to external databases and network resources, test your code, and maximize performance using asynchronous program. In later chapters, you ‘ll understand how to use the cross-platform features of Tkinter and Qt5 to maintain compatibility across platforms. You ’ ll be able to mimic the platform-native spirit and feel, and build executables for deployment across democratic computer science platforms. With this book you ‘ll have the skills and confidence to design and build high-end GUI applications that can solve real-world problems. publisher ‘s foliate Python Clean Coding Peter Fisher ISBN 13 : 9781788831079 Course Length : 2 hours 8 minutes ( 3 Jul 2019 ) Video Overview: detect simple practices for writing clean and efficient Python code even bad code can function. But if code is n’t clean, it can bring a development administration to its knees. Every year, countless hours and significant resources are lost because of ill written code. But it does n’t have to be that way. With this course we will apply what we ’ ve learned in the previous videos to rewriting and reorganizing real-world Python programs into clean and jerk and beautiful code that can be more easily understand, debugged, and extended. publisher ‘s page Python GUI Programming – A complete Reference Guide Alan D. Moore and B.M. Harwani ISBN 13 : 9781838988470 Packt 746 Pages Course Length : 22 hours 22 minutes ( 24 Jun 2019 ) Book: explore Python ’ s GUI frameworks and create visually stunning and feature-rich applications A reactive graphic drug user interface ( GUI ) helps you interact with your lotion, improves user feel, and enhances the efficiency of your applications. With Python, you ’ ll have access to elaborate GUI frameworks that you can use to build interactional GUIs that stand apart from the rest. With this book you ‘ll have the skills and confidence to design and build high-end GUI applications that can solve real-world problems. publisher ‘s page Hands-On Qt for Python Developers Volodymyr Kirichinets ISBN 13 : 9781789612790 Packt 770 Pages ( 29 May 2019 ) Book Overview: Boost UI development with ready-made widgets, controls, charts, and data visual image and create sandbag 2D and 3D graphics with PyQt and PySide2. Qt is one of the most widely used and flexible frameworks for GUI application exploitation, allowing you to write your application once and then deploy it to multiple operating systems. This reserve combines the best of Python and Qt to help you develop GUI applications with Python bindings, such as PyQt and PySide, that will supercharge your Python applications. With this book, you will be able to create modern, responsive, cross-platform desktop applications with the office of Qt, Python, and QML. publisher ‘s page Deep Learning and Neural Networks using Python – Keras : The Complete Beginners Guide Abilash Nelson ISBN 13 : 9781838986476 Packt Course Length : 11 hours 7 minutes ( 28 May 2019 ) Video Overview: Deep eruditeness and data skill using a Python and Keras library – The complete guide from a novice to professional The world has been obsessed with the terms “ machine memorize ” and “ deep memorize ” recently. We use these technologies every day, with or without our cognition. Ranging from Google suggestions to translations, ads, movie recommendations, ally suggestions, sales and customer experiences. There are tons of other applications besides thus there ’ mho no wonder that abstruse teach and machine learn specialists, along with data skill practitioners, are the most sought endowment in the current engineering earth. But the problem is that, when you think about learning these technologies, there is a common misconception that it ’ s a prerequisite to study lots of maths, statistics, and complex algorithm. It ’ s about like person making you believe that you must learn the cultivate of an inner combustion engine before you learn how to drive a car This course is organized and an overview of the tilt of topics included. overall, this is a basic to an promote crash course in thick learn nervous networks and convolutional nervous networks using Keras and Python. publisher ‘s foliate Using MySQL Databases With Python John Elder ISBN 13 : 9781838984670 Packt Course Length : 2 hours 2 minutes ( 28 May 2019 ) Video Overview: Learn the MySql Database with Python the fast and slowly manner ! These days, everything uses a database, and MySQL is one of the most democratic databases out there. FREE and Open Source, Mysql is a capital database for merely about all of your needs. Likewise, Python is one of the most popular and powerful program languages today. Pairing the two together is a brawny combination ! With this course, you ‘ll learn the basics of using MySQL with Python. You ‘ll learn how to create databases and tables, add data, sort data, create reports, pull specific data, and more. publisher ‘s page Hands-On Qt for Python Developers Volodymyr Kirichinets ISBN 13 : 9781789612790 Packt 770 Pages ( 29 May 2019 ) Book: Boost UI development with ready-made widgets, controls, charts, and data visual image and create arresting 2D and 3D graphics with PyQt and PySide2. The record begins with an overview of Qt and QML. You ’ ll beginning by working with PyQt GUI elements to vogue your applications. then, you will learn how to use QWidget, frame, labels, and textbook fields, and work with graphics. This will be followed by taking you through how elements in the application communicate with each early by understanding signals, slots, and event handlers. This book will help you to gain a better understand of the Qt model and the tools to resolve issues when testing, linking, debugging, and multithreading your Python GUI applications. ultimately, the book will help you get to grips with embed and fluid development using PyQt and PySide. With this book, you will be able to create modern, responsive, cross-platform background applications with the power of Qt, Python, and QML. publisher ‘s page hands-on GPU Computing with Python Avimanyu Bandyopadhyay ISBN 13 : 9781789341072 Packt 452 Pages ( 13 May 2019 ) Book: research GPU-enabled programmable environment for machine teach, scientific applications, and gaming using PuCUDA, PyOpenGL, and Anaconda Accelerate This book will be your steer to getting started with GPU computing. It will start with introducing GPU calculate and explain the architecture and programming models for GPUs. You will learn, by case, how to perform GPU programming with Python, and you ’ ll look at using integrations such as PyCUDA, PyOpenCL, CuPy, and Numba with Anaconda for assorted tasks such as machine learn and data mining. Going far, you will get to grips with GPU solve flows, management, and deployment using mod containerization solutions. Toward the end of the book, you will get companion with the principles of distribute computing for training machine learn models and enhancing efficiency and operation. With this book, you will be able to set up a GPU ecosystem for running complex applications and data models that requirement great processing capabilities, and be able to efficiently manage memory to compute your application effectively and cursorily. publisher ‘s page Mastering GUI Programming with Python Alan D. Moore ISBN : 9781789612905 Packt Pages : 542 pages ( 23 May 2019 ) Book Overview: An advanced guide to creating herculean high-performance GUIs for modern, media-rich applications in versatile domains such as occupation and game development You will get started with an initiation to PyQt5, before going on to develop stunning GUIs with mod features. You will then learn how to build forms using QWidgets and learn about important aspects of GUI development such as layouts, size policies, and event-driven program. Moving ahead, you ’ ll discover PyQt5 ’ s most mighty features through chapters on audio-visual program with QtMultimedia, database-driven software with QtSQL, and web browsing with QtWebEngine. Next, in-depth coverage of multithreading and asynchronous programming will help you run tasks asynchronously and build high-concurrency processes with ease. In late chapters, you ’ ll advance insights into QOpenGLWidget, along with mastering techniques for creating 2D graphics with QPainter. You ’ ll besides explore PyQt on a Raspberry Pi and interface it with distant systems using QtNetwork. last, you will learn how to distribute your applications using setuptools and PyInstaller. By the end of this book, you will have the skills you need to develop robust GUI applications using PyQt. publisher ‘s page MicroPython Cookbook Marwan Alsabbagh ISBN :9781838649951 Packt Pages : 452 ( 20 May 2019 ) Book Overview: Build practical solutions to control LEDs, make music and read detector data using popular microcontrollers such as Adafruit Circuit Playground, ESP8266, and the BBC Micro Bit The MicroPython book covers recipes that will help you experiment with the scheduling environment and hardware programmed in MicroPython. You ‘ll find tips and techniques for building a kind of objects and prototypes that can sense and respond to touch, sound, placement, heating system, and light. This script will take you through the uses of MicroPython with a diverseness of popular input signal devices and sensors. You ‘ll learn techniques to handle prison term delays and detector readings, and apply progress coding techniques to create complex projects. As you advance, you ‘ll deal with Internet of Things ( IoT ) devices and consolidation with early on-line web services. furthermore, you ‘ll besides use MicroPython to make music with bananas and create portable multiplayer video games that incorporate sound and light animations into the gameplay. By the end of the script, you ‘ll have mastered the tips and tricks to troubleshoot your development problems and push your MicroPython project to the adjacent grade ! publisher ‘s page real World Projects in Python 3.x

• Matthew Macarty

ISBN 13 : 9781789953374 Packt Course Length : 2 hours 23 minutes ( 29 Apr 2019 ) Video Overview: step by Step hardheaded guide for building real-world projects using Python 3 This course covers the all-important concepts in Python 3 showing how to implement them in versatile applications. You ’ ll learn about Python 3.x new features and develop the skills required for build robust, easily scalable, and maintainable code in Python.Throughout this course, you will be building multiple applications ranging from simple ones to more building complex ones. Learning by doing has its advantages as you will immediately see the concepts explained in carry through. You will learn how to build scalable, bouncy, and effective applications as real-world projects in Python 3.x that become your software requirements and besides furthers your understanding of the Python scheduling language. By the end of the course, you will build upon your basic program skills taking your programming skills to another level and handily build up projects with Python 3.x as per your indigence. publisher ‘s foliate Applied Deep Learning with PyTorch Hyatt Saleh ISBN 13 : 9781789804591 Packt 254 Pages ( 26 Apr 2019 ) Book Overview: Implement techniques such as image categorization and natural terminology action ( NLP ) by understanding the different nervous net architectures machine teach is quickly becoming the most choose direction of solving data problems, thanks to the huge diverseness of mathematical algorithm that find patterns, which are otherwise inconspicuous to us. With this book, you ’ ll be able to apply the skills and confidence you ‘ve gathered along your learning summons to use PyTorch for building deeply memorize solutions that can solve your clientele data problems. publisher ‘s page Python Data Mining Quick Start Guide Nathan Greeneltch ISBN 13 : 9781789800265 Packt 188 Pages ( 24 Apr 2019 ) Book OR Video Overview: Explore the different data mine techniques using the libraries and packages offered by Python Data mining is a necessary and predictable response to the dawn of the information age. It is typically defined as the model and/ or tendency discovery phase in the data mine pipeline, and Python is a democratic tool for performing these tasks as it offers a wide variety show of tools for data mine. With this book, you will be able to build an efficient data mining pipeline using Python without any harass. publisher ‘s page — – Troubleshooting Python Deep Learning [ Video ] Jakub Konczyk ISBN 13 : 9781788998192 Packt Course Length : 3 hours 2 minutes ( 29 April 2019 ) Video Overview: After carefully analyzing the most democratic errors or problems that arise while working on Deep Learning models, we have identified the most functional models used for categorization in this course and provided virtual yet singular solutions to each problem that are easy to understand and implement. You can either follow the stallion course or directly jump into the section that covers a specific problem you ’ ra lining. Some of the common so far significant issues we cover include errors while building and discipline Deep Learning with neural networks, specially without a specific framework. By the end of the course, you will be well-versed to tackle and troubleshoot any errors with your Deep teach models. publisher ‘s page Hands-On Deep Learning Architectures with Python Yuxi ( Hayden ) Liu, Saransh Mehta ISBN 13 : 9781788998086 Packt 316 Pages ( April 2019 ) Book Overview: Concepts, tools, and techniques to explore cryptic learn architectures and methodologies Deep eruditeness architectures are composed of multilevel nonlinear operations that represent high-level abstractions ; this allows you to learn utilitarian feature representations from the data. This script will help you learn and implement deep learning architectures to resolve assorted trench memorize research problems. With this script you will be able to construct deep models using popular frameworks and datasets with the want blueprint patterns for each architecture. You will be ready to explore the likely of deep architectures in nowadays ‘s world. publisher ‘s page OpenCV Computer Vision Examples with Python : A Complete Guide for Dummies [ Video ] Abhilash Nelson ISBN 13 : 9781838820817 Packt Course Length : 08 hours 50 minutes ( March 2019 ) Video Overview: Computer Vision is an AI based, that is, artificial Intelligence-based engineering that allows computers to understand and label images. so, learning and mastering this fantastic earth of Computer Vision-based engineering is surely up-market. It will make you technical in competing with the swiftly changing Image Processing engineering sphere. And this course is designed in such a way that even the very founder to programming can master the Computer Vision-based engineering. so, overall this is a complete box in which you can learn Computer Vision-based Technology, Deep Learning-based Face Detection, then Face Recognition and Optical Character Recognition. publisher ‘s page artificial Intelligence in 3 Hours [ Video ] Luka Anicin ISBN 13 : 9781838646196 Packt Course Length : 03 hours 05 minutes ( March 2019 ) Video Overview: Get up and running with AI in less than 3 hours What do self-driving cars, face recognition, web search, industrial robots, projectile guidance, and tumor detection have in common ? They are all complex real-world problems being solved with applications of intelligence ( AI ). This class provides you with a broad agreement of the basic techniques for construction intelligent computer systems and an agreement of how AI is applied to problems. A comprehensive course that takes you through AI in 3 hours. It is packed with footstep by dance step instructions and working examples. publisher ‘s page Hands-On Artificial Intelligence with Keras and Python [ Video ] Sandipan Das ISBN 13 : 9781838557829 Packt Course Length : 2 hours 31 minutes ( March 2019 ) Video Overview: Use Keras to solve advanced diligence relevant projects AI will help you solve key challenges in the future in respective domains. It is an excite fourth dimension to be doing AI with world making its chemise towards Industry 2.0 with automation in focus. This path will help you learn by doing an industry relevant problem in image process sphere, develop and understand automation and AI techniques. You will learn how to harness the office of algorithm by creating apps which intelligently interact with the world around you, addressing common challenges faced in AI ecosystem. publisher ‘s page Hands-On Python 3.x GUI Programming [ Video ] Burkhard Meier ISBN 13 : 9781789957242 Course Length : 2 hours 56 minutes ( March 2019 ) Video Overview: Create complete fluent, interactional and knock-down applications with Tkinter & PyQt5 One can not ignore the benefits of a well-designed architecture and graphic exploiter interface for applications. If you ‘re concern in designing and building graphic user interfaces that are functional, appealing, and user-friendly using one of the most brawny languages, Python 3. This course is for you. It is meant for intercede level programmers who want to enhance their skills by developing GUIs written in Python. By the end of this course, you will have successfully mastered high-end GUI application such as Card Game and Paint App and will be capable of building many more powerful, cross-platform, and scalable applications. publisher ‘s page Full-Stack Web Development with Flask [ Video ] christian Hur ISBN 13 : 9781789957464 Course Length : 5 hours 10 minutes ( March 2019 ) Video Overview: Learn to create and deploy childlike yet mighty websites using the Flask Framework In this course, we will cover everything you need to know to build a moral force vane application using the Python and Flask frameworks for seamless full-stack web development. You ‘ll dive into the Flask environment and get to know its directory structure, template, and routing systems. then you ‘ll learn to connect to databases such as Flask-SQLAlchemy and Flask- MongoEngine to help shop and track data. The course will develop your experience in Flask and when you ‘ve completed it you will be able to build your own complex web applications. publisher ‘s foliate PyTorch Deep Learning in 7 Days [ Video ] Will Ballard ISBN 13 : 9781789135367 Packt Course Length : 2 hours 9 minutes ( March 2019 ) Video Overview: Seven abruptly lessons and a daily exercise, carefully chosen to get you started with PyTorch Deep Learning faster than other courses PyTorch is Facebook ’ s latest Python-based framework for Deep Learning. It has the ability to create dynamic Neural Networks on CPUs and GPUs, both with significantly less code compared to early competing frameworks. PyTorch has a singular interface that makes it as easy to learn as NumPy. This 7-day course is for those who are in a rush to get started with PyTorch. You will be introduced to the most normally use Deep Learning models, techniques, and algorithm through PyTorch code. This course is an attack to break the myth that Deep Learning is complicated and show you that with the right option of tools combined with a bare and intuitive explanation of kernel concepts, Deep Learning is deoxyadenosine monophosphate accessible as any early application development technologies out there. It ’ s a journey from diving deep into the fundamentals to getting acquainted with the progress concepts such as Transfer Learning, Natural Language Processing and execution of Generative Adversarial Networks. publisher ‘s foliate Hands-On Big Data Analytics with PySpark Rudy Lai, Bartłomiej Potaczek ISBN 13 : 9781838644130 Packt 182 Pages ( March 2019 ) Book Overview: Use PySpark to easily crush messy data at-scale and discover proved techniques to create testable, immutable, and easily parallelizable Spark jobs Apache Spark is an open reservoir parallel-processing framework that has been around for quite some time nowadays. One of the many uses of Apache Spark is for data analytics applications across bunch computers. In this book, you will not merely learn how to use Spark and the Python API to create high-performance analytics with big data, but besides discover techniques for testing, immunize, and parallelizing Spark jobs. You will learn how to source data from all popular data host platforms, including HDFS, Hive, JSON, and S3, and distribute with big datasets with PySpark to gain virtual big data know. This koran will help you work on prototypes on local machines and subsequently go on to handle messy data in production and at scale. This book covers install and setting up PySpark, RDD operations, big data clean and brawl, and aggregating and summarizing data into utilitarian reports. You will besides learn how to implement some practical and raise techniques to improve certain aspects of program and government in Apache Spark. publisher ‘s page Learning Python Networking – second Edition José Manuel Ortega, Dr. M. O. Faruque Sarker, Sam Washington ISBN 13 : 9781789958096 Packt 490 Pages ( March 2019 ) Book Overview: Take your networking skills to the future flat by learning network programming concepts and algorithm using Python net scheduling has always been a demanding task. With full-featured and well-documented libraries all the way up the smokestack, Python makes network programming the enjoyable experience it should be. Starting with a walk through of today ‘s major network protocols, through this reserve, you ‘ll learn how to employ Python for network programming, how to request and retrieve network resources, and how to extract data in major formats over the web. You will utilize Python for emailing using different protocols, and you ‘ll interact with distant systems and IP and DNS network. You will cover the association of network devices and shape using Python 3.7, along with cloud-based network management tasks using Python. publisher ‘s page Data science for Marketing Analytics Tommy Blanchard, Debasish Behera, Pranshu Bhatnagar ISBN 13 : 9781789959413 Packt 420 Pages ( March 2019 ) Book Overview: research new and more advanced tools that reduce your marketing analytics efforts and give you accurate results Data science for Marketing Analytics takes a hands-on approach to the practical aspects of using Python data analytics libraries to ease selling analytics efforts. It contains multiple activities that use real-life business scenarios for you to practice and apply your newfangled skills in a highly relevant context. The reserve is designed for developers and selling analysts looking to use newly, more sophisticate tools in their market analytics efforts. It ‘ll help if you have prior have of coding in Python and cognition of high gear school level mathematics. Some experience with databases, Excel, statistics, or Tableau is utilitarian but not necessity. publisher ‘s page Python Machine Learning Cookbook – second Edition Giuseppe Ciaburro, Prateek Joshi ISBN 13 : 9781789808452 Packt 642 Pages ( March 2019 ) Book Overview: Discover potent ways to efficaciously solve real-world machine memorize problems using key libraries including scikit-learn, TensorFlow, and PyTorch This eagerly anticipate moment edition of the popular Python Machine Learning Cookbook will enable you to adopt a fresh access to dealing with real-world machine teach and deep learn tasks. With the help oneself of over 100 recipes, you will learn to build brawny machine teach applications using modern libraries from the Python ecosystem. The bible will besides guide you on how to implement respective machine learning algorithm for categorization, bunch, and recommendation engines, using a recipe-based approach. publisher ‘s page Hands-On Natural Language Processing with Pytorch { Video } Jibin Mathew ISBN 13 : 9781789133974 Packt Course Length : 2 hours 24 minutes ( January 2019 ) Video Overview: Use modern NLP tools & techniques with Deep Learning & PyTorch to build healthy lyric applications The main finish of this course is to train you to perform complex NLP tasks ( and build intelligent lyric applications ) using Deep Learning with PyTorch. You will build two complete real-world NLP applications throughout the course. The first gear application is a sentiment Analyzer that analyzes data to determine whether a inspection is positive or damaging towards a particular movie. You will then create an advance neural Translation Machine that is a speech translation engine, using Sequence to Sequence models with the accelerate and flexibility of PyTorch to translate given text into different languages. publisher ‘s foliate artificial Intelligence and Machine Learning Fundamentals Zsolt Nagy ISBN 13 : 9781789801651 Packt 330 Pages ( December 2018 ) Book Overview: Create AI applications in Python and lay the foundations for your career in data skill As you make your way through the book, you will progress to advanced AI techniques and concepts, and work on real-life datasets to form decision trees and clusters. You will be introduced to neural networks, a knock-down tool based on Moore ‘s jurisprudence. By the end of this book, you will be confident when it comes to building your own AI applications with your newly acquired skills ! publisher ‘s page Data analysis with Python David Taieb ISBN 13 : 9781789950069 Packt 490 Pages ( December 2018 ) Book Overview: Learn a advanced approach to data psychoanalysis using Python to harness the world power of program and AI across your data. detailed case studies bring this modern approach to liveliness across ocular data, social media, graph algorithm, and time series psychoanalysis. research the baron of this approach path to data analysis by then working with it across key industry case studies. Four fascinate and broad projects connect you to the most critical data analysis challenges you ’ re likely to meet in today. The first of these is an image recognition application with TensorFlow – embracing the importance today of AI in your data analysis. The second industry project analyses social media trends, exploring big data issues and AI approaches to lifelike language work. The third case discipline is a fiscal portfolio analysis application that engages you with clock series analysis – pivotal to many data skill applications nowadays. The one-fourth diligence use event dives you into graph algorithm and the power of programming in modern data skill. You ‘ll wrap up with a thoughtful look at the future of data science and how it will harness the might of algorithm and artificial news. publisher ‘s page Computer Vision Projects with OpenCV and Python 3 Matthew Rever ISBN 13 : 9781789954555 Packt 182 Pages ( December 2018 ) Book Overview: Gain a working cognition of advanced machine memorize and explore Python ’ s herculean tools for extracting data from images and videos With the aid of this reserve, you will learn how to set up Anaconda and Python for the major OSes with up-to-date third-party libraries for Computer Vision. You ‘ll learn state-of-the-art techniques for classifying images, finding and identifying homo postures, and detecting faces within videos. You will use knock-down machine learn tools such as OpenCV, Dlib, and TensorFlow to build excite projects such as classifying handwritten digits, detecting facial features, and a lot more. The book besides covers some advance projects, such as reading text from license plates from real-world images using Google ’ s Tesseract software, and tracking human body poses using DeeperCut within TensorFlow. By the end of this script, you will have the expertness required to build your own Computer Vision projects using Python and its consociate libraries. publisher ‘s page introduction to bayesian analysis in Python ( Video ) Sunil Gupta ISBN 13 : 9781788997010 Packt Course Length : 1 hour 10 minutes ( December 2018 ) Video Overview: This naturally focuses on the lotion of relevant Bayesian techniques The course introduces the model of bayesian Analysis. Complex mathematical hypothesis will be sidestepped in favor of a more hardheaded access, featuring computational methods implemented in the Python library PyMC3. We present several instances of analysis scenarios. All the codes of the course are uploaded on the Github depository : hypertext transfer protocol : //github.com/PacktPublishing/-Introduction-to-Bayesian-Analysis-in-Python publisher ‘s foliate Deep Learning for Python Developers { Video } Will Ballard ISBN 13 : 9781788993883 Packt Course Length : 2 hours 11 minutes ( December 2018 ) Video Overview: Use your Python skills to build herculean Deep Learning applications This course is for Python developers who have n’t worked with machine memorize or data science, and want to build healthy systems right away—without taking a mathematics degree ! You will learn about perennial neural networks, Backprop, SGD, and more. You will work on code examples that are used in a developer ‘s life on a daily basis ; you ‘ll not only master the theory, you ‘ll besides see how to applied it in the industry as a whole. You will rehearse all these ideas in MxNet, TensorFlow, Keras, and Gluon. last but not the least, build Convolutional Neural Networks and apply them to prototype data. deep Learning is presently enabling numerous exciting applications in manner of speaking recognition, music synthesis, machine translation, natural speech understand, and many others. AI is transforming multiple industries. After finishing this course, you will probable find creative ways to apply it to your exercise. We will help you master Deep Learning, understand how to apply it, and build a career in AI. publisher ‘s foliate Hands-On Enterprise Application Development with Python Saurabh Badhwar ISBN 13 : 9781789532364 Packt 374 pages ( December 2018 ) Book Overview: dynamically typed languages like Python are endlessly improving. With the addition of exciting new features and a wide survival of mod libraries and frameworks, Python has emerged as an ideal language for developing enterprise applications. Hands-On Enterprise Application Development with Python will show you how to build effective applications that are static, fasten, and well scalable. The book is a detailed steer to building an end-to-end enterprise-grade application in Python. You will learn how to effectively implement Python features and purpose patterns that will positively impact your lotion lifecycle. The record besides covers advanced concurrence techniques that will help you build a restful application with an optimize frontend. Given that security and stability are the foundation garment for an enterprise application, you ’ ll be trained on effective quiz, performance analysis, and security system practices, and understand how to embed them in your codebase during the initial phase. You ’ ll besides be guided in how to move on from a monolithic computer architecture to one that is military service oriented, leveraging microservices and serverless deployment techniques. By the end of the book, you will have become technical at building effective enterprise applications in Python. Amazon Page bayesian analysis with Python – moment Edition Osvaldo Martin ISBN 13 : 9781789341652 Packt 356 Pages ( December 2018 ) Book Overview: bayesian modeling with PyMC3 and exploratory psychoanalysis of bayesian models with ArviZ The second version of bayesian analysis with Python is an presentation to the main concepts of enforce bayesian inference and its practical execution in Python using PyMC3, a state-of-the-art probabilistic programming library, and ArviZ, a fresh library for exploratory analysis of bayesian models. The independent concepts of bayesian statistics are covered using a practical and computational approach. synthetic and real data sets are used to introduce respective types of models, such as popularize linear models for regression and categorization, mix models, hierarchical models, and gaussian processes, among others. publisher ‘s page Hands-On Predictive Analytics with Python Alvaro Fuentes ISBN 13 : 9781789138719 Packt 330 Pages ( December 2018 ) Book Overview: Step-by-step guide to build high performing predictive applications predictive analytics is an apply field that employs a variety of quantitative methods using data to make predictions. It involves much more than merely throwing data onto a computer to build a model. This book provides practical coverage to help you understand the most important concepts of predictive analytics. Using virtual, bit-by-bit examples, we build predictive analytics solutions while using up-to-date Python tools and packages. The reserve ‘s bit-by-bit approach starts by defining the trouble and moves on to identifying relevant data. We will besides be performing data planning, exploring and visualizing relationships, construct models, tuning, evaluating, and deploying model. publisher ‘s foliate Learning Python Artificial Intelligence by Example ( Video ) Mark Strefford ISBN 13 : 9781788839532 Packt Course Length : 1 hour 58 minutes ( November 2018 ) Video Overview: Build synergistic chatbots, facial recognition, headline writers, and more. No AI experience required ! Built for cub AI enthusiasts across four realistic projects, this course covers modern techniques that make up the world of artificial Intelligence. Dive into your first natural lyric work visualize, build a facial recognition system, and build your very own self driving steering code. You will explore the manipulation of neural networks and deeply learn, and how you can train and test sets for have origin. You ‘ll be introduced to the Keras deep learn library, which you will use to predict cab travel times, and to the use of natural lyric process to find the most relevant articles in Wikipedia. By the end of this video class, you will be confident enough to build your own AI projects with Python, and cook to take on more gain subject as you move on. publisher ‘s foliate Consuming Python APIs with React ( Video ) Wayne Merry ISBN 13 : 9781788396073 Packt Course Length : 2 hours 21 minutes ( November 2018 ) Video Overview: Bring your Python full push-down list web growth experience full moon r-2 by integrating your Django backend with a React frontend You will start by cursorily setting up your JavaScript tools and Node.js, arsenic well as React.js for a Bookmarking Application visualize. After that, you will put in concert your basic frontend code for interacting with your Django backend. You will learn to build and use react components for your application ‘s UI, and work with your React code ‘s data and state to determine how your application behaves. You ‘ll besides explore spread-eagle and consequence handling for your application. From there, you will delve into backend interaction details, such as authentication for login. You will learn to consume your Django resources and besides create, update, and erase detail data. You ‘ll besides learn particular tasks such as managing your bookmarks and count and collecting likes and comments on your bookmarks. By the end of this course, you will have successfully integrated your Python web application ‘s backend with a React.js frontend. publisher ‘s page Bioinformatics with Python Cookbook – moment Edition Tiago Antao ISBN 13 : 9781789344691 Packt 360 Pages ( November 2018 ) Book Overview: Discover advanced, next-generation sequencing libraries from Python ecosystem to analyze big amounts of biological data Bioinformatics is an active research field that uses a range of simple-to-advanced computations to extract valuable information from biological data. This book covers next-generation sequence, genomics, metagenomics, population genetics, phylogenetics, and proteomics. You ‘ll learn advanced programming techniques to analyze big amounts of biological data. With the help of real-world examples, you ‘ll convert, analyze, and visualize datasets using diverse Python tools and libraries. publisher ‘s page hands-on Image Processing with Python Sandipan Dey ISBN 13 : 9781789343731 Packt 492 Pages ( November 2018 ) Book Overview: Explore the mathematical computations and algorithm for image process using popular Python tools and frameworks. picture process plays an crucial character in our daily lives with versatile applications such as in social media ( face detection ), aesculapian image ( roentgenogram, CT-scan ), security ( fingerprint recognition ) to robotics & distance. This bible will touch the core of trope processing, from concepts to code using Python. The book will start from the classical image process techniques and explore the evolution of trope process algorithms up to the recent advances in double process or computer imagination with deep learn. We will learn how to use double processing libraries such as PIL, scikit-mage, and scipy ndimage in Python. This book will enable us to write code snippets in Python 3 and quickly implement complex persona processing algorithms such as persona enhancement, filter, cleavage, object detection, and categorization. We will be able to use machine learn models using the scikit-learn library and late explore deep CNN, such as VGG-19 with Keras, and we will besides use an throughout thick learn model called YOLO for object detection. We will besides cover a few promote problems, such as persona inpainting, gradient blend, variational denoising, wrinkle carve, quilting, and morph. publisher ‘s page natural Language Processing with Python Quick Start Guide Nirant Kasliwal ISBN 13 : 9781789130386 Packt 182 Pages ( November 2018 ) Book Overview: Going from a Python developer to an effective Natural Language Processing Engineer NLP in Python is among the most search after skills among data scientists. With code and relevant event studies, this record will show how you can use industry-grade tools to implement NLP programs adequate to of learning from relevant data. We will explore many modern methods ranging from spaced-out to word vectors that have reinvented NLP. The book takes you from the basics of NLP to building text process applications. We start with an introduction to the basic vocabulary along with a work flow for building NLP applications. publisher ‘s page perennial Neural Networks with Python Quick Start Guide Simeon Kostadinov ISBN 13 : 9781789132335 Packt 122 Pages November 2018 ) Book Overview: Learn how to develop intelligent applications with consecutive learn and apply modern methods for terminology model with neural network architectures for deep teach with Python ‘s most democratic TensorFlow model. Developers struggle to find an easy-to-follow learn resource for implementing Recurrent Neural Network ( RNN ) models. RNNs are the state-of-the-art model in thick learning for dealing with consecutive data. From language translation to generating captions for an image, RNNs are used to continuously improve results. This book will teach you the fundamentals of RNNs, with example applications in Python and the TensorFlow library. The examples are accompanied by the properly combination of theoretical cognition and real-world implementations of concepts to build a firm initiation of nervous network model. Your travel starts with the simplest RNN model, where you can grasp the fundamentals. The book then builds on this by proposing more advance and complex algorithm. We use them to explain how a distinctive state-of-the-art RNN model works. From generating text to building a language translator, we show how some of nowadays ‘s most powerful AI applications work under the hood. After reading the book, you will be confident with the fundamentals of RNNs, and be quick to pursue farther cogitation, along with developing skills in this excite field. publisher ‘s page Hands-On GPU Programming with Python and CUDA Dr. Brian Tuomanen ISBN 13 : 9781788993913 Packt 310 Pages November 2018 ) Book Overview: Build real-world applications with Python 2.7, CUDA 9, and CUDA 10 Hands-On GPU Programming with Python and CUDA hits the earth race : you ’ ll start by learning how to apply Amdahl ’ south Law, use a code profiler to identify bottlenecks in your Python code, and set up an appropriate GPU programming environment. You ’ ll then see how to “ question ” the GPU ’ south features and copy arrays of data to and from the GPU ’ s own memory. As you make your means through the bible, you ’ ll launching code directly onto the GPU and write full blown GPU kernels and device functions in CUDA C. You ’ ll get to grips with profiling GPU code effectively and fully test and debug your code using Nsight IDE. Next, you ’ ll explore some of the more well-known NVIDIA libraries, such as cuFFT and cuBLAS. With a solid background in put, you will now apply your new-found cognition to develop your very own GPU-based deep nervous network from scratch. You ’ ll then research advanced topics, such as warp shamble, dynamic parallelism, and PTX assembly. In the final chapter, you ’ ll see some topics and applications related to GPU programming that you may wish to pursue, including AI, graphics, and blockchain. By the end of this reserve, you will be able to apply GPU programming to problems related to data science and high-performance computer science. publisher ‘s page Hands-On OpenCV 4 with Python Colibri Digital ISBN 13 : 9781789618464 Packt Course Length : 2 hours 31 minutes ( November 2018 ) Video Overview: dive right into the universe of Computer Vision and AI by making five amazing, real-life applications with this hands-on course The scope of computer vision has been booming in the past few years and it has become a highly sought skill. There are tons of real-life problems precisely waiting to be solved with computer vision. If you want to get your hands dirty with this technology and use it to craft your own, singular solutions, then look no promote because this path is made for you ! The course is designed so you ’ ll learn as you develop interesting apps. First you ’ ll determine to set up your environment, before building five stimulate applications. We ’ ll introduce you to all necessary concepts and slowly transition into the airfield of artificial Intelligence ( AI ) and deeply learn such as classification and object detection. publisher ‘s page Mastering Concurrency in Python Quan Nguyen ISBN 13 : 9781789343052 Packt 446 Pages ( November 2018 ) Book Overview: Immerse yourself in the universe of Python concurrence and tackle the most complex coincident scheduling problems Python is one of the most popular program languages, with numerous libraries and frameworks that facilitate high-performance computer science. Concurrency and parallelism in Python are substantive when it comes to multiprocessing and multithreading ; they behave differently, but their common target is to reduce the execution time. This book serves as a comprehensive introduction to diverse advanced concepts in coincident engineer and programming. Mastering Concurrency in Python starts by introducing the concepts and principles in concurrence, right from Amdahl ‘s Law to multithreading scheduling, followed by elucidating multiprocessing program, web scratch, and asynchronous I/O, together with common problems that engineers and programmers face in coincident programming. adjacent, the book covers a number of advance concepts in Python concurrence and how they interact with the Python ecosystem, including the Global Interpreter Lock ( GIL ). finally, you ‘ll learn how to solve real-world concurrence problems through examples. publisher ‘s page Hands-On Reactive Programming with Python Syeda Seemab ISBN 13 : 9781789138795 Packt Course Length : 2 hours 34 minutes ( November 2018 ) Video Overview: Build reactive applications with Python. Make your applications coincident and asynchronous with RxPY This hardheaded guide will take you steadily through an exploration of reactive Programming. In this course, you will learn about reactive program in Python using RxPY and simplify the room you write code and create robust enterprise applications. The course covers the major libraries on Python reactive extensions ( RxPY ) and explains in detail the function of asynchronous program and event-based programming in building reactive extensions. You will look deep into its provide classes, methods, and operators, to help you to build a reactive application. By the end of the naturally, you will be equipped to solve real-world problems and have a absolved sympathize of when and how you should use the different approaches demonstrated in RxPY. publisher ‘s page Application Development with Python and Flask Achim Takunda Munene ISBN 13 : 9781788991575 Course Length : 6 hours 7 minutes ( November 2018 ) Video Overview: Dive into the universe of Flask Framework in Python to build an array of elementary so far herculean web applications This course will take you through Flask Microframework ; it covers all its components and elements and how to integrate it with useful third-party libraries. You will download all you need to get started with Flask development and then delve straight into the frontend and backend development batch. The course will then show you the general flow in developing a Flask application, including some extensions used by developing a simple application. You will then develop multiple applications such as note-taking, social medias, and file share applications. By the end of the course, you will be able to build your own web applications using Flask in Python. publisher ‘s page Hands-On Software Engineering with Python Brian Allbee ISBN 13 : 9781788622011 Packt 736 Pages ( October, 2018 ) Book Overview: research versatile verticals in software engineering through high-end systems using Python Software Engineering is about more than equitable writing code—it includes a server of soft skills that apply to about any development attempt, no topic what the speech, development methodology, or scope of the project. Being a senior developer all but requires awareness of how those skills, along with their expected technical foul counterparts, engage together through a visualize ‘s life sentence cycle. This record walks you through that discovery by going over the entire liveliness cycle of a multi-tier system and its relate software projects. You ‘ll see what happens before any development takes place, and what impact the decisions and designs made at each step have on the development process. The development of the entire project, over the class of several iterations based on real-world Agile iterations, will be executed, sometimes starting from nothing, in one of the fastest growing languages in the world—Python. application of practices in Python will be laid out, along with a act of Python-specific capabilities that are frequently overlooked. ultimately, the book will implement a high-performance computing solution, from inaugural principles through complete foundation garment. publisher ‘s page Hands-On Data Structures and Algorithms with Python – second Edition Dr. Basant Agarwal ISBN 13 : 9781788995573 Packt 398 Pages ( October, 2018 ) Book Overview: Learn to implement complex data structures and algorithms using Python This script helps you to understand the power of yoke lists, double linked lists, and circular linked lists. You will learn to create building complex data structures, such as graph, stacks, and queues. As you make your way through the chapters, you will explore the application of binary searches and binary star search trees, along with memorize common techniques and structures used in tasks such as preprocessing, mold, and transforming data. In the concluding chapters, you will get to grips with organizing your code in a accomplishable, consistent, and extendible room. You will besides study how to bubble sort, selection kind, insertion classify, and merge classify algorithm in detail. By the end of the book, you will have learned how to build components that are easy to understand, debug, and function in unlike applications. You will get insights into Python implementation of all the important and relevant algorithm. publisher ‘s page The Complete Machine Learning Course with Python ( Video ) Anthony NG, Rob Perciva ISBN 13 : 9781789953725 Packt Course Length : 18 hours 22 minutes ( October, 2018 ) Video Overview: Build a Portfolio of 12 Machine Learning Projects with Python, SVM, Regression, Unsupervised Machine Learning & More ! You will train machine learning algorithms to classify flowers, predict house price, identify handwritings or digits, identify staff that is most likely to leave prematurely, detect cancer cells and much more ! By the conclusion of this course, you will have a Portfolio of 12 Machine Learning projects that will help you land your dream speculate or enable you to solve real-life problems in your business, job or personal life with Machine Learning algorithm. publisher ‘s page Master Computer Vision OpenCV3 in Python and Machine Learning ( Video ) Rajeev Ratan ISBN 13 : 9781789616521 Packt Course Length : 6 hours 14 minutes ( October 2018 ) Video Overview: Learn Computer Vision concepts by building 12 projects, including handwriting recognition, face filters, and car and people detection ! Computer imagination applications and engineering are exploding correctly now, with several apps and industries making amaze use of the technology—ranging from energetic apps such as MSQRD, and PRISMA to billion-dollar apps such as Pokémon GO and Snapchat ! even Facebook, Google, Microsoft, Apple, Amazon, and Tesla are all heavily utilize computer vision for face and object realization, persona inquisitory, and specially in self-driving cars ! As a result, the demand for calculator vision expertness is growing exponentially ! however, learning calculator sight is hard ! Existing on-line tutorials, textbooks, and absolve MOOCs are much outdated, using older and incompatible libraries, or are besides theoretical, making the national difficult to understand. This was the writer ‘s problem when learning Computer Vision and it became incredibly frustrating. even merely running model code found on-line proved difficult as libraries and functions were often outdated. The author created this course to teach you all the key concepts without the heavy mathematical theory—all the while using the most up-to-date methods. At the end of the path, you will be able to build 12 amazing Computer Vision apps using OpenCV ( the best supported open-source calculator vision library that exists today ! ) in Python. Using it in Python is just fantastic as Python allows us to focus on the problem at hand without getting bogged down in complex code. If you ‘re an academic or college student but want to learn more, the author even points you in the veracious guidance by linking the inquiry papers for techniques used. sol if you want to get an excellent foundation in Computer Vision, look no far. This is the run for you ! publisher ‘s page Python for Finance : investment Fundamentals and Data Analytics ISBN 13 : 9781789618976 Course Length 6 hours 59 minutes ( October 2018 ) Video Overview: This course will take you on a travel where you ‘ll learn how to code in Python. You will learn how to use Python in a real work environment and explore how Python can be applied in the earth of Finance to solve portfolio optimization problems. The first part of the course is ideal for beginners and people who want to brush up on their Python skills. And then, once we have covered the basics, we will be ready to tackle fiscal calculations and portfolio optimization tasks. The Finance block of this course will teach you in-demand, real-world skills employers are looking for. This explains topics such as how to work with Python ‘s conditional statements, functions, sequences, and loops, build investment portfolios, and more. The code pile for this video recording class is available at hypertext transfer protocol : //github.com/PacktPublishing/Python-for-Finance-Investment-Fundamentals-and-Data-Analytics. Applied Data Science with Python and Jupyter Alex Galea ISBN 13 : 9781789958171 Packt 192 Pages ( MONTH YEAR ) Book Overview: Become the headmaster actor of data exploration by creating reproducible data process pipelines, visualizations, and prediction models for your applications. In this reserve, you ‘ll learn every aspect of the standard data work flow march, including collect, cleanse, investigating, visualizing, and modeling data. You ‘ll start with the basics of Jupyter, which will be the backbone of the reserve. After familiarizing ourselves with its standard features, you ‘ll look at an model of it in rehearse with our foremost analysis. In the future example, you dive right into predictive analytics, where multiple classification algorithm are implemented. last, the ledger ends by looking at data collection techniques. You ‘ll see how web data can be acquired with scraping techniques and via APIs, and then briefly research interactional visualizations. publisher ‘s page Hands-On Reactive Programming with Python Romain Picard ISBN 13 : 9781789138726 Packt Course Length : 12 hours 36 minutes ( October 2018 ) Video Overview: A comprehensive guide to help you understand the principles of Reactive and asynchronous program and its benefits This hands-on guide gets you started with Reactive Programming ( RP ) in Python. You will learn abouta the principles and benefits of using RP, which can be leveraged to build powerful coincident applications. As you progress through the chapters, you will be introduced to the prototype of Functional and Reactive Programming ( FaRP ), observables and observers, and concurrence and parallelism. The book will then take you through the execution of an audio transcoding waiter and introduce you to a library that helps in the writing of FaRP code. You will understand how to use third-party services and dynamically reconfigure an application. By the end of the book, you will besides have learned how to deploy and scale your applications with Docker and Traefik and explore the significant potential behind the reactive stream concept, and you ‘ll have got to grips with a comprehensive examination set of best practices. publisher ‘s page Learn Computer Vision with Python and OpenCV [ Video ] Kathiravan Natarajan ISBN 13 : 9781788293846 Packt Course Length : 1 hour 20 minutes ( October 2018 ) Book OR Video Overview: Detect and lead objects in images and videos. Perform accurate and authentic processing tasks with Computer vision using OpenCV This course begins with the basics of load and working with images. You will detect colored person objects in your images easily. You will besides use tools to build and apply filters in your photos and track objects in a video. By the end of the path, you will have a tauten appreciation of Computer Vision techniques using OpenCV libraries. This course will be your gateway to the world of data skill. publisher ‘s page Learning Vue.js 2.0 ISBN 13 : 9781788397414 Packt Course Length : 1 hour 46 minutes ( October 2018 ) Book OR Video Overview: Build amazing and complex reactive web applications with Vue.js This video course shows developers how to build high-performing, reactive network interfaces with Vue.js. It starts from start, teaching you how to build a “ Hello World ! ” lotion in Vue.js and moves towards building advanced applications dance step by step. You ‘ll earn the concepts that you need to know about Vue.js. You ‘ll build an application as you go, putting the concepts we ‘ve explained into practice. respective modern tools such as Webpack, vue-cli, hot reload, and vue devtools will be used to develop mod vane applications, focusing on the position layer to provide the most performant experience for users. besides you will use the vue-cli-based Webpack template and expression at how we can build on top of that newcomer kit. By the end of this naturally, you will be able to build building complex and large network applications with Vue.js and will besides understand how to make single-file-based reclaimable components which can be used across projects. publisher ‘s page Hands-On Reactive Programming with Python Romain Picard ISBN 13 : 9781789138726 Packt 420 Pages ( October 2018 ) Book Overview: A comprehensive examination scout to help you understand the principles of Reactive and asynchronous programming and its benefits reactive scheduling is cardinal to many coincident systems, but it ’ second celebrated for its exorbitant eruditeness swerve, which makes most developers feel like they ‘re hitting a wall. With this book, you will get to grips with reactive program by steadily exploring versatile concepts This hands-on guidebook gets you started with Reactive Programming ( RP ) in Python. You will learn abouta the principles and benefits of using RP, which can be leveraged to build mighty coincident applications. As you progress through the chapters, you will be introduced to the prototype of Functional and Reactive Programming ( FaRP ), observables and observers, and concurrence and parallelism. The book will then take you through the implementation of an audio transcoding server and introduce you to a library that helps in the write of FaRP code. You will understand how to use third-party services and dynamically reconfigure an application. By the end of the book, you will besides have learned how to deploy and scale your applications with Docker and Traefik and explore the significant potential behind the reactive pour concept, and you ‘ll have got to grips with a comprehensive examination rig of best practices. publisher ‘s page Mastering Flask Web Development – second Edition Daniel Gaspar, Jack Stouffer ISBN 13 : 9781788995405 Packt 332 Pages ( October 2018 ) Book Overview: Learn to build advanced, fasten, highly available web MVC applications and API ’ s using Python`s Flask model. Flask is a popular Python framework known for its lightweight and modular purpose. Mastering Flask Web Development will take you on a arrant tour of the Flask environment and teach you how to build a production-ready application. You ‘ll begin by learning about the installation of Flask and basic concepts such as MVC and accessing a database using an ORM. You will learn how to structure your application so that it can scale to any size with the help of Flask Blueprints. You ‘ll then learn how to use Jinja2 templates with a high gear level of expertness. You will besides learn how to develop with SQL or NoSQL databases, and how to develop REST APIs and JWT authentication. adjacent, you ‘ll move on to build role-based access security and authentication using LDAP, OAuth, OpenID, and database. besides learn how to create asynchronous tasks that can scale to any load using Celery and RabbitMQ or Redis. You will besides be introduced to a wide-eyed range of Flask extensions to leverage technologies such as cache, localization, and debugging. You will learn how to build your own Flask extensions, how to write tests, and how to get test coverage reports. finally, you will learn how to deploy your lotion on Heroku and AWS using assorted technologies, such as Docker, CloudFormation, and Elastic Beanstalk, and will besides learn how to develop Jenkins pipelines to build, test, and deploy applications. publisher ‘s foliate machine Learning for Healthcare Analytics Projects Eduonix Learning Solutions ISBN 13 : 9781789536591 Packt 134 Pages ( October 2018 ) Book Overview: Create real-world machine learning solutions using NumPy, lesser panda, matplotlib, and scikit-learn machine Learning ( ML ) has changed the manner organizations and individuals use data to improve the efficiency of a organization. ML algorithms permit strategists to deal with a diverseness of integrated, unstructured, and semi-structured data. Machine Learning for Healthcare Analytics Projects is packed with new approaches and methodologies for creating potent solutions for healthcare analytics. This book will teach you how to implement key machine learning algorithms and walk you through their use cases by employing a range of libraries from the Python ecosystem. You will build five throughout projects to evaluate the efficiency of artificial Intelligence ( AI ) applications for carrying out simple-to-complex healthcare analytics tasks. With each project, you will gain newly insights, which will then help you handle healthcare data efficiently. As you make your way through the bible, you will use ML to detect cancer in a set of patients using support vector machines ( SVMs ) and k-Nearest neighbors ( KNN ) models. In the final chapters, you will create a deeply neural net in Keras to predict the attack of diabetes in a huge dataset of patients. You will besides learn how to predict center diseases using nervous networks. publisher ‘s page machine Learning with scikit-learn Quick Start Guide Kevin Jolly ISBN 13 : 9781789343700 Packt 172 Pages ( October 2018 ) Book Overview: Deploy supervised and unsupervised machine learning algorithm using scikit-learn to perform categorization, arrested development, and cluster. Scikit-learn is a robust machine learning library for the Python program language. It provides a place of oversee and unsupervised learning algorithm. This record is the easiest way to learn how to deploy, optimize, and evaluate all of the crucial machine learning algorithms that scikit-learn provides. This book teaches you how to use scikit-learn for machine learning. You will start by setting up and configuring your car learning environment with scikit-learn. To put scikit-learn to use, you will learn how to implement respective supervised and unsupervised machine eruditeness models. You will learn classification, arrested development, and clustering techniques to work with unlike types of datasets and train your models. publisher ‘s page Python Deep Learning Projects Matthew Lamons, Rahul Kumar, Abhishek Nagaraja ISBN 13 : 9781788997096 Packt 472 Pages ( October 2018 ) Book Overview: insightful projects to master trench eruditeness and nervous network architectures using Python and Keras Deep determine has been gradually revolutionizing every playing field of artificial news, making application development easier. Python Deep Learning Projects imparts all the cognition needed to implement complex deep learn projects in the sphere of computational linguistics and calculator imagination. Each of these projects is unique, helping you increasingly master the capable. You ’ ll learn how to implement a text classifier system using a perennial nervous network ( RNN ) model and optimize it to understand the shortcomings you might experience while implementing a simple deep eruditeness system. publisher ‘s foliate Mastering Python for Networking and Security José Manuel Ortega ISBN 13 : 9781788992510 Packt 426 Pages ( September 2018 ) Book Overview: Master Python scripting to build a network and perform security operations Python is being used for increasingly advanced tasks, with the latest update introducing many new packages. This reserve focuses on leveraging these updated packages to build a fasten net with the help of Python script. This book covers topics from building a network to the different procedures you need to follow to secure it. You ’ ll first be introduced to unlike packages and libraries, before moving on to different ways to build a network with the help of Python scripting. belated, you will learn how to check a network ’ s vulnerability using Python security script, and understand how to check vulnerabilities in your network. As you progress through the chapters, you will besides learn how to achieve end point security by leveraging Python packages along with writing forensic scripts. By the end of this book, you will be able to get the most out of the Python terminology to build fasten and full-bodied networks that are bouncy to attacks. publisher ‘s page Python Automation Cookbook Jaime Buelta ISBN 13 : 9781789133806 Packt 398 Pages ( September 2018 ) Book Overview: Step-by-step instructions which take you through each course of study to automate flat tasks with Python 3.7 The Python Automation Cookbook helps you develop a clear understanding of how to automate your business processes using Python, including detecting opportunities by scraping the web, analyzing information to generate automatic spreadsheets reports with graph, and communicating with mechanically generated emails. You ’ ll learn how to get notifications via text messages and run tasks while your beware is focused on other important activities, followed by understanding how to scan documents such as résumés. Once you ’ ve gotten familiar with the fundamentals, you ’ ll be introduced to the world of graph, along with studying how to produce organized charts using Matplotlib. In addition to this, you ’ ll amplification in-depth cognition of how to generate rich graphics showing relevant information. publisher ‘s page Mastering predictive Analytics with scikit-learn and TensorFlow Alan Fontaine ISBN 13 : 9781789617740 Packt 154 Pages ( September 2018 ) Book Overview: Learn advanced techniques to improve the performance and quality of your predictive models Python is a program language that provides a wide range of features that can be used in the field of data science. Mastering predictive Analytics with scikit-learn and TensorFlow covers respective implementations of ensemble methods, how they are used with real-world datasets, and how they improve prediction accuracy in classification and regression problems. This book starts with corps de ballet methods and their features. You will see that scikit-learn provides tools for choosing hyperparameters for models. As you make your way through the book, you will cover the kernel of predictive analytics and explore its features and characteristics. You will besides be introduced to artificial neural networks and TensorFlow, and how it is used to create nervous networks. In the concluding chapter, you will explore factors such as computational power, along with improvement methods and software enhancements for efficient predictive analytics. By the end of this book, you will be well-versed in using deep neural networks to solve coarse problems in big data analysis. publisher ‘s page binary Exploits with Python Sam Bowne ISBN 13 : 9781788398343 Packt Course Length : 2 hours 53 minutes ( September 2018 ) Video Overview: Create elementary binary exploits with Python This video class starts with high-level code injection, the simplest kind of exploit. It then explains binary star exploits that allow you to skip past unwanted code, such as the password or product key tests, and add Trojan code. You will perform the exploit development process : finding a vulnerability, analyzing a crash in a debugger, creating a craft attack, and achieving distant code execution on Windows and Linux. You will use the gdb debugger to analyze Linux executables and Python code to exploit them. On Windows, you ‘ll use the Immunity debugger and Python. This class uses a demonstration-and-challenge approach which guides students from passive observation to practical execution of binary feat at development techniques. publisher ‘s page Python Reinforcement Learning Projects Sean Saito, Yang Wenzhuo and Rajalingappaa Shanmugamani ISBN 13 : 9781788991612 Packt 296 Pages ( September 2018 ) Book Overview: Deploy autonomous agents in clientele systems using knock-down Python libraries and twist reward learning models reinforcement eruditeness ( RL ) is the adjacent big jump in the artificial news domain, given that it is unsupervised, optimized, and fast. Python Reinforcement Learning Projects takes you through respective aspects and methodologies of reinforcement eruditeness, with the help oneself of insightful projects. You will learn about congress of racial equality concepts of reinforcing stimulus learn, such as Q-learning, Markov models, the Monte-Carlo process, and deep support learning. As you make your way through the record, you ’ ll exploit on projects with diverse datasets, including numerical, text, video, and audio, and will gain experience in gambling, image rocessing, audio work, and recommendation system projects. You ’ ll research TensorFlow and OpenAI Gym to implement a deep learn RL agentive role that can play an Atari game. In accession to this, you will learn how to tune and configure RL algorithm and parameters by building agents for different kinds of games. In the conclude chapters, you ’ ll drive to grips with building self-learning models that will not alone uncover layers of data but besides cause and make decisions. By the end of this koran, you will have created eight real-world projects that explore reward learn and will have handson experience with real data and artificial news ( AI ) problems. publisher ‘s page Hands-On Markov Models with Python Ankur Ankan and Abinash Panda ISBN 13 : 9781788625449 Packt 178 Pages ( September 2018 ) Book Overview: Unleash the power of unsupervised machine teach in Hidden Markov Models using TensorFlow, pgmpy, and hmmlearn Hidden Markov Model ( HMM ) is a statistical model based on the Markov chain concept. Hands-On Markov Models with Python helps you get to grips with HMMs and unlike inference algorithm by working on real-world problems. The hands-on examples explored in the book aid you simplify the process run in machine learn by using Markov model concepts, thereby making it accessible to everyone. once you ’ ve covered the basic concepts of Markov chains, you ’ ll get insights into Markov processes, models, and types with the aid of hardheaded examples. After grasping these fundamentals, you ’ ll move on to learning about the different algorithm used in inferences and applying them in state and argument inference. In addition to this, you ’ ll explore the bayesian border on of inference and learn how to apply it in HMMs. In far chapters, you ’ ll discover how to use HMMs in time series analysis and natural lyric process ( NLP ) using Python. You ’ ll besides learn to apply HMM to double processing using 2D-HMM to section images. finally, you ’ ll understand how to apply HMM for reinforcing stimulus learning ( RL ) with the serve of Q-Learning, and use this technique for single-stock and multi-stock algorithmic trade. By the end of this book, you will have grasped how to build your own Markov and shroud Markov models on complex datasets in decree to apply them to projects. publisher ‘s page Mastering Natural Language Processing with Python ( Video ) Deepti Chopra, Iti Mathur, Nisheeth Joshi ISBN 13 : 9781789618358 Packt Course Length : 1 hour 37 minutes ( August 2018 ) Video Overview: research respective NLP tasks while enhancing your Python skills in real-world scenarios ! This course will give you expertise on how to employ versatile NLP tasks in Python, giving you an insight into the best practices when designing and building NLP-based applications using Python. It will help you become an adept in no time and aid you in creating your own NLP projects using NLTK. You will consecutive be guided through applying machine determine tools to develop diverse models. We ’ ll give you clarity on how to create train data and how to implement major NLP applications such as Named Entity Recognition, Question Answering System, Discourse Analysis, Transliteration, Word Sense disambiguation, Information Retrieval, Text Summarization, and Anaphora Resolution. publisher ‘s page Hands-on Supervised Machine Learning with Python ( Video ) taylor Smith ISBN 13 : 9781789347654 Packt Course Length : 3 hours 6 minutes ( August 2018 ) Video Overview: Teach your machine to think for itself ! This course will guide you through the execution and nuances of many popular supervised machine learning algorithms while facilitating a deep sympathy along the means. You ’ ll venture on this travel with a quick course overview and see how monitor machine learning differs from unsupervised memorize. By the end of the video recording course, you ’ ll be equipped with hands-on techniques to gain the virtual know-how needed to quickly and potently apply these algorithms to fresh problems. publisher ‘s page Real-World Machine Learning Projects with Scikit-Learn [ Video ] Nikola Živković ISBN 13 : 9781789131222 Packt Course Length : 2 hours 34 minutes ( August 2018 ) Video Overview: Predict heart disease, customer-buying behaviors, and much more in this run filled with real-world projects Scikit-Learn is one of the most powerful Python Libraries with has a clean API, and is robust, fast and easy to use. It solves real-world problems in the areas of health, population analysis, and figuring out buying behavior, and more. In this course you will build mighty projects using Scikit-Learn. Using algorithm, you will learn to read trends in the grocery store to address market need. You ‘ll delve more deeply to decode buying behavior using Classification algorithm ; cluster the population of a place to gain insights into using K-Means Clustering ; and create a model using Support Vector Machine classifiers to predict affection disease. publisher ‘s foliate Beginning Selenium WebDriver Testing in Python Andy Craze ISBN 13 : 9781789138580 Packt Course Length : 1 hour 47 minutes ( August 2018 ) Video Overview: Use Selenium automation, to save you time when testing in Python This course introduces Python users to Selenium WebDriver. It will help users with basic programming cognition to start code-testing. This run will help users cut down on their time spent on testing code written in Python. ou will then start practicing the basics. future, you will explore the biggest forte of selenium : integrating your trial instances with the browser of your choice. You will then actually test an authentication system in a consecutive manner by following each of the necessitate steps. By the end of the course, you will be able to provide your customers and clients with better quality code in less time, enhancing customer satisfaction ! publisher ‘s page Become a Python Data Analyst Alvaro Fuentes ISBN 13 : 9781789531701 Packt 178 Pages ( August 2018 ) Book Overview: Enhance your data analysis and predictive model skills using popular Python tools In this book, we will cover Python libraries such as NumPy, giant panda, matplotlib, seaborn, SciPy, and scikit-learn, and apply them in virtual data analysis and statistics examples. As you make your direction through the chapters, you will learn to efficiently use the Jupyter Notebook to operate and manipulate data using NumPy and the lesser panda library. In the conclude chapters, you will gain have in build childlike predictive models and carrying out statistical calculation and analysis using rich Python tools and prove data analysis techniques. By the end of this reserve, you will have hands-on experience performing data analysis with Python. publisher ‘s page Hands-On Bitcoin Programming with Python Harish Kumar Garg ISBN 13 : 9781789537000 Packt 90 Pages ( August 2018 ) Book Overview: Simplified Python programming for Bitcoin and Blockchain Bitcoin is a cryptocurrency that ’ s changing the confront of on-line payments. Hands-On Bitcoin Programming with Python teaches you to build software applications for mining and creating Bitcoins using Python. This book starts with the basics of both Bitcoin and blockchain and gives you an overview of these implicit in concepts by showing you how to build Bitcoin-driven applications with Python. Packed with clean instructions and virtual examples, you will learn to understand elementary Python code examples that work with this cryptocurrency. publisher ‘s page Applied Deep Learning with Python Alex Galea and Luis Capelo ISBN 13 : 9781789804744 Packt 334 Pages ( August 2018 ) Book Overview: A hands-on guide to deep learn that ’ s filled with intuitive explanations and engaging practical examples aking an access that uses the latest developments in the Python ecosystem, you ’ ll first be guided through the Jupyter ecosystem, key visual image libraries and powerful data sanitation techniques before we train our first predictive model. We ’ ll explore a assortment of approaches to classification like support vector networks, random decision forests and k-nearest neighbours to build out your understanding before we move into more complex territory. It ’ south approve if these terms seem overwhelming ; we ’ ll testify you how to put them to work. We ’ ll physique upon our classification coverage by taking a immediate search at ethical web trash and interactional visualizations to help you professionally gather and present your analysis. It ’ s after this that we start building out our keystone deep learn application, one that aims to predict the future price of Bitcoin based on historical populace data. publisher ‘s page Modern Python Standard Library Cookbook Alessandro Molina ISBN 13 : 9781788830829 Packt 366 Pages ( August 2018 ) Book Overview: Build optimized applications in Python by smartly implementing the standard library The Python 3 Standard Library is a huge array of modules that you can use for developing diverse kinds of applications. It contains an exhaustive list of libraries, and this ledger will help you choose the best one to address specific programming problems in Python. The Modern Python Standard Library Cookbook begins with recipes on containers and data structures and guides you in performing effective textbook management in Python. You will find Python recipes for command-line operations, network, filesystems and directories, and coincident murder. You will learn about Python security essentials in Python and get to grips with assorted development tools for debugging, benchmarking, inspection, error report, and tracing. The script includes recipes to help you create graphic drug user interfaces for your application. You will learn to work with multimedia components and perform mathematical operations on date and time. The recipes will besides show you how to deploy different searching and sorting algorithms on your data. publisher ‘s page clean Code in Python Mariano Anaya ISBN 13 : 9781788835831 Packt 332 Pages ( August 2018 ) Book Overview: Getting the most out of Python to improve your codebase The book begins by describing the basic elements of writing clean code and how it plays an crucial character in Python program. You will learn about writing effective and clear code using the Python standard library and best practices for software invention. You will learn to implement the SOLID principles in Python and use decorators to improve your code. The book delves more profoundly into object oriented program in Python and shows you how to use objects with descriptors and generators. It will besides show you the design principles of software testing and how to resolve software problems by implementing design patterns in your code. In the final examination chapter we break down a massive application to a microservice one, starting from the code as the footing for a solid platform. By the end of the script, you will be technical in applying industry approved tease practices to design clean, sustainable and clear Python code. publisher ‘s page PyCharm for Power-Developer ( Video ) Melissa Dale ISBN 13 : 9781788835794 Packt Course Length : 2 hours 13 minutes ( August 2018 ) Video Overview: Optimize Pycharm ‘s intensity to develop application well. In this course, you ’ ll learn how to improve your code quality with Lens Mode and Intentions, refactor and debug code, and perform unit testing with the PyCharm examination runner. Along the way, we ’ ll work with SQL databases. Further on, you ’ ll learn to integrate Python with world wide web projects that include HTML and JavaScript and build a project with the Flask microframework. By the end of the course, you ’ ll be well-versed with a fantastic tool for Python development— PyCharm —and be able to do everything expected of a Python developer. publisher ‘s page pytest flying Start Guide Bruno Oliveira ISBN 13 : 9781789347562 Packt 160 Pages ( August 2018 ) Book Overview: Learn the pytest direction to write simple tests which can besides be used to write complex tests Python ‘s standard unittest module is based on the xUnit family of frameworks, which has its origins in Smalltalk and Java, and tends to be long-winded to use and not easily extensible.The pytest model on the early hand is identical dim-witted to get started, but mighty enough to cover complex testing integration scenarios, being considered by many the genuine Pythonic approach path to testing in Python. In this book, you will learn how to get started right away and get the most out of pytest in your daily workflow, exploring mighty mechanisms and plugins to facilitate many common testing tasks. You will besides see how to use pytest in existing unittest-based screen suites and will learn some tricks to make the jumpstart to a pytest-style test suite cursorily and well. publisher ‘s page Mastering Python Networking – second Edition Eric Chou ISBN 13 : 9781789135992 Packt 466 Pages ( August 2018 ) Book Overview: Master the artwork of using Python for a diverse range of network engineering tasks Networks in your infrastructure set the foundation for how your application can be deployed, maintained, and serviced. Python is the ideal language for network engineers to explore tools that were previously available to systems engineers and application developers. In this second edition of Mastering Python Networking, you ’ ll embark on a Python-based journey to transition from traditional network engineers to network developers ready for the next-generation of networks. This reserve begins by reviewing the basics of Python and teaches you how Python can interact with both bequest and API-enabled net devices. As you make your way through the chapters, you will then learn to leverage high-level Python packages and frameworks to perform net engineering tasks for automation, monitoring, management, and enhanced security. In the reason chapters, you will use Jenkins for continuous network integration angstrom well as testing tools to verify your network. publisher ‘s page Hands-On Natural Language Processing with Python Rajesh Arumugam, Rajalingappaa Shanmugamani ISBN 13 : 9781789139495 Packt 312 Pages ( July 2018 ) Book Overview: Foster your NLP applications with the help of abstruse learn, NLTK, and TensorFlow natural linguistic process march ( NLP ) has found its application in respective domains, such as vane search, advertisements, and customer services, and with the avail of deep teach, we can enhance its performances in these areas. Hands-On Natural Language Processing with Python teaches you how to leverage abstruse learn models for performing diverse NLP tasks, along with best practices in dealing with today ’ randomness NLP challenges. To begin with, you will understand the kernel concepts of NLP and deep eruditeness, such as Convolutional Neural Networks ( CNNs ), perennial neural networks ( RNNs ), semantic embed, Word2vec, and more. You will learn how to perform each and every tax of NLP using neural networks, in which you will train and deploy neural networks in your NLP applications. You will get accustomed to using RNNs and CNNs in diverse application areas, such as textbook classification and sequence label, which are all-important in the application of sentiment analysis, customer serve chatbots, and anomaly detection. You will be equipped with practical cognition in order to implement deep learn in your linguistic applications using Python ‘s popular deep learn library, TensorFlow. publisher ‘s page hands-on Recommendation Systems with Python Rounak Banik ISBN 13 : 9781788993753 Packt 146 Pages ( July 2018 ) Book Overview: With Hands-On Recommendation Systems with Python, learn the tools and techniques required in building diverse kinds of mighty recommendation systems ( collaborative, cognition and content based ) and deploying them to the web This book shows you how to do fair that. You will learn about the unlike kinds of recommenders used in the diligence and see how to build them from scribble using Python. No necessitate to wade through tons of machine learning theory—you ‘ll get started with build and learning about recommenders equally cursorily as possible.. In this book, you will build an IMDB Top 250 clone, a content-based locomotive that works on movie metadata. You ‘ll use collaborative filters to make use of customer demeanor data, and a Hybrid Recommender that incorporates contentedness based and collaborative trickle techniques With this script, all you need to get started with build recommendation systems is a familiarity with Python, and by the time you ‘re fnished, you will have a great grok of how recommenders work and be in a hard placement to apply the techniques that you will learn to your own problem domains. publisher ‘s page Getting Started with Modern Python ( Video ) Joran Beasley ISBN 13 : 9781788472784 Packt Course Length : 3 hours 16 minutes ( July 2018 ) Video Overview: Learn Python like a Professional ! Start from the basics and go all the way to create your program in it. In this course, you will start by setting up your growth environment, including downloading Python and setting up your IDE ( PyCharm ) ; you ‘ll then be introduced to Python lists and number comprehensions. The run will then show you what a generator is and why you might want to use one. Further on, you will be introduced to functions and decorators, and see how you can use them. You will then learn how to create a very dim-witted, single-file Python plan, and how to execute it both from the command line and from within the IDE. You ‘ll besides get a identical brief introduction to debug. By the conclusion of the course, you ‘ll have learned how to manipulate strings, parsing and printing them. publisher ‘s page Building REST APIs with Python ( Video ) Wayne Merry ISBN 13 : 9781788293143 Packt Course Length : 2 hours 49 minutes ( July 2018 ) Video Overview: Take your skills with Python to the following level by guiding you to pick the correct stack. With the growing demand for full-stack developers, it is authoritative to learn how you can combine the powers of Python with other libraries to create perplex applications. Django has basic front-end corroborate but we show how complex operations can be performed at the front-end. We show you how to unleash the might of Python ‘s Rest API and other functionalities to create compelling applications powered by ReactJS. We will be using a production-level database such as Postgres. Delving into key aspects such as code reusability, deployment and maintaining your application, we discuss product server configuration and bundle technologies with Python to provide an throughout web development solution. publisher ‘s page Python Tips, Tricks and Techniques ( Video ) Colibri Ltd ISBN 13 : 9781789138535 Packt Course Length : 2 hours and 38 minutes ( July 2018 ) Video Overview: From excellent functions to abstract base classes, apply Pythonic tricks to your application and be a Python rockstar This class is will take you from a Python outsider to an insider. You will benefit from insights from the Python documentation, PEPs, and on-line developer communities to learn the ultimate Pythonic ways to tackle common program patterns. This course covers tips, tricks, and techniques for loops, data structures, object-oriented program, functions, and more, helping you work on regulate collections and key-value stores for dictionaries. You will be able to increase the speed and performance of your code while making it easier to debug. Start writing cleaner code for your applications and learn to organize it better in just 3 hours. he course is full moon of hands-on instructions, interesting and exemplifying visualizations, and clean explanations. It is packed entire of utilitarian tips and relevant advice which can be applied to real, commercial products. Throughout the path, we maintain a concenter on practicality and getting things done, not fancy programming concepts and theory. publisher ‘s foliate Tips, Tricks, and Techniques for Python Application Development ( Video ) Mihai Costea ISBN 13 : 9781789139235 Packt Course Length : 3 hours 17 minutes ( July 2018 ) Video Overview: Improve your application development serve to build efficient apps with Python The course starts by dealing with performance issues and learning how to tackle them in an lotion. Distributing an application with Python is not easy but you will learn ways to distribute applications developed using Python along with GUIs, web applications, and more. Further, you will learn to test your lotion at unlike levels and use modern software at the development stage. You will besides learn to expand productiveness using standard and third-party tools. last, you will learn to protect your code choice from likely errors and detect any problem at an early stage, to prevent any issues later. You will start by exploring Python issues and how to diagnose them. then you will be introduced to the most democratic ways to distribute Python applications. Next, you will test applications and use mod software in the development action. ultimately, you will learn to expand your productivity and wield code quality to prevent any issues later. publisher ‘s page Troubleshooting Python Application Development ( Video ) Rudy Lai ISBN 13 : 9781788995337 Packt Course Length : 2 hours 50 minutes ( July 2018 ) Video Overview: Tackle Python operation problems and speed up your apps with parallelism, coincident execution, and OOP Troubleshooting Python Application Development is your answer. This course takes you through a structure travel of performance problems that your application is likely to encounter, and presents both the intuition and the solution to these issues. You ‘ll get things done, without a drawn-out detour into how Python is implemented or computational theory. The course is full of hands-on instructions, interesting and exemplifying visualizations, and, unclutter explanations from a data scientist. It is packed fully of useful tips and relevant advice. Throughout the run, we maintain a focus on practicality and getting things done, not visualize mathematical theory. publisher ‘s page Hands-on Network Programming with Python { Video } Eric Chou ISBN 13 : 9781788994583 Packt XXX Pages OR Course Length : 3 hours 3 minutes ( July 2018 ) Video Overview: The arrant usher that will help you create and automate your network with Python The goal of the course is to master key Python concepts as they are applied in the network engineer context. Computer Networks, large and small, has become always increasingly software-driven in the last respective years. A typical network engineer faces the challenge of learning a wholly new discipline that normally takes years to master. This course will use Python, an easy-to-learn, popular first-time-programmer lyric as the foundation garment to bridge the col for network engineers facing the automation challenge, this will help network engineers become experts in using Python for network. The video will start by demonstrating how to use Python and supported libraries to automate network tasks. then you will get familiar with the concepts and function with the Ansible framework in orderliness to achieve your net goals. You will then come across ways to monitor your network using Python. Besides this, you will develop a good reason and explore ways to solve issues related to the security system wheel that treats the network as one unmarried entity rather of dispersing components. By the end of the course, the students will master skills required to accomplish gain network automation using Python. publisher ‘s foliate hands-on NLP with NLTK and Scikit-learn { Video } Colibri Ltd ISBN 13 : 9781789345612 Packt Course Length : 2 hours 46 minutes ( July 2018 ) Video Overview: A complete Python guide to Natural Language Processing to build spam filters, subject classifiers, and opinion analyzers There is an bubble over of text data on-line present. As a Python developer, you need to create a new solution using Natural Language Processing for your next project. Your colleagues depend on you to monetize gigabytes of unstructured text data. What do you do ? hands-on NLP with NLTK and scikit-learn is the answer. This course puts you right on the spot, starting off with building a spam classifier in our beginning video recording. At the end of the course, you are going to walk away with three NLP applications : a spam filter, a subject classifier, and a opinion analyzer. There is no need for visualize mathematical theory, just plain english explanations of core NLP concepts and how to apply those using Python libraries. Taking this course will help you to precisely create new applications with Python and NLP. You will be able to build actual solutions backed by machine learn and NLP march models with ease. publisher ‘s page Data Science Essentials Advanced Algorithms and Visualizations ( Video ) Alberto Boschetti, Luca Massaron ISBN 13 : 9781789616057 Packt Course Length : 1 hours 50 minutes ( July 2018 ) Video Overview: Become an efficient data skill practitioner by understanding Python ‘s key concepts This course will make you look beyond the fundamentals with beautiful data visualizations with Seaborn and ggplot, web development with Bottle, and even the new frontiers of deep learning with Theano and TensorFlow. We start with SVM and random forest for classification and arrested development. We look at big data, trench teach, and linguistic process action. then we use graph psychoanalysis techniques for very matter to and trending social media analytics. finally, we take a complete overview of the chief car learning algorithms, graph analysis techniques, and all the visual image and deployment tools that make it easier to present your results to an hearing of both data skill experts and business users. publisher ‘s page statistical Methods and Applied Mathematics in Data Science ( Video ) Cyrille Rossant ISBN 13 : 9781789539219 Packt Course Length : 2 hours 38 minutes ( July 2018 ) Video Overview: Use IPython and Jupyter Notebook to sharpen your skills for your data analysis and visual image tasks machine determine and data analysis are the center of attraction for many engineers and scientists. The reason is quite obvious : its huge application in numerous fields and booming career options. And Python is one of the leading open source platforms for data skill and numeric computer science. IPython, and its consociate Jupyter Notebook, provide Python with efficient interfaces to for data analysis and interactional visual image, and they constitute an ideal gateway to the platform. If you are among those seeking to enhance their capabilities in machine determine, then this course is the right option. statistical Methods and Applied Mathematics in Data Science provides many easy-to-follow, ready-to-use, and focused recipes for data analysis and scientific calculation. This naturally tackles data science, statistics, machine memorize, sign and effigy processing, dynamic systems, and pure and applied mathematics. publisher ‘s page Qt5 Python GUI Programming Cookbook B.M. Harwani ISBN 13 : 9781788831000 Packt 462 Pages ( July 2018 ) Book Overview: Over 60 recipes to help you design interactional, smart, and cross-platform GUI applications PyQt is one of the best cross-platform interface toolkits presently available ; it ‘s stable, senesce, and wholly native. If you want control over all aspects of UI elements, PyQt is what you need. This ledger will guide you through every concept necessary to create amply functional GUI applications using PyQt, with lone a few lines of code. As you expand your GUI using more widgets, you will cover networks, databases, and graphic libraries that greatly enhance its functionality. adjacent, the book guides you in using Qt Designer to design drug user interfaces and enforce and testing dialogs, events, the clipboard, and puff and fell functionality to customize your GUI. You will learn a variety of topics, such as expression and feel customization, GUI animation, graphics rendering, implementing Google Maps, and more. publisher ‘s page Building Machine Learning Systems with Python – third base Edition Luis Pedro Coelho, Willi Richert, Matthieu Brucher ISBN 13 : 9781788623223 Packt 406 Pages ( July 2018 ) Book Overview: Get more from your data by creating hardheaded machine learning systems with Python This book shows you precisely how to find patterns in your crude data. You will start by brushing up on your Python machine learning cognition and being introduced to libraries. You ‘ll quickly get to grips with dangerous, real-world projects on datasets, using model and creating recommendation systems. With Building Machine Learning Systems with Python, you ’ ll gain the tools and understanding required to build your own systems, all tailored to solve real-world data analysis problems. By the end of this book, you will be able to build machine learning systems using techniques and methodologies such as classification, opinion analysis, computer vision, reinforcement learning, and neural networks. publisher ‘s page Building Serverless Python Web Services with Zappa Abdulwahid Abdulhaque Barguzar ISBN 13 : 9781788837613 Packt 324 Pages ( July 2018 ) Book Overview: Master serverless architectures in Python and their implementation, with Zappa on three different frameworks. Serverless applications are becoming identical democratic these days, not precisely because they save developers the trouble of managing the servers, but besides because they provide several other benefits such as cutting heavy costs and improving the overall operation of the application. This ledger will help you build serverless applications in a agile and efficient way. We begin with an presentation to AWS and the API gateway, the environment for serverless exploitation, and Zappa. We then look at build, examination, and deploying apps in AWS with three different frameworks — Flask, Django, and Pyramid. Setting up a custom domain along with SSL certificates and configuring them with Zappa is besides covered. A few advance Zappa settings are besides covered along with securing Zappa with AWS VPC. publisher ‘s page PySpark Cookbook Denny Lee, Tomasz Drabas ISBN 13 : 9781788835367 Packt 330 Pages ( June 2018 ) Book Overview: Combine the ability of Apache Spark and Python to build effective big data applications You ’ ll originate by learning the Apache Spark architecture and how to set up a Python environment for Spark. You ’ ll then get companion with the modules available in PySpark and start using them effortlessly. In summation to this, you ’ ll discover how to abstract data with RDDs and DataFrames, and understand the stream capabilities of PySpark. You ’ ll then move on to using ML and MLlib in order to solve any problems related to the machine learning capabilities of PySpark and use GraphFrames to solve graph-processing problems. ultimately, you will explore how to deploy your applications to the cloud using the spark-submit command. By the conclusion of this book, you will be able to use the Python API for Apache Spark to solve any problems associated with building data-intensive applications. publisher ‘s page hands-on Reinforcement Learning with Python Sudharsan Ravichandiran ISBN 13 : 9781788836524 Packt 318 Pages ( June 2018 ) Book Overview: A hands-on guide enriched with examples to master deep reinforcing stimulus learning algorithms with Python The book starts with an introduction to Reinforcement Learning followed by OpenAI Gym, and TensorFlow. You will then explore respective RL algorithm and concepts, such as Markov Decision Process, Monte Carlo methods, and dynamic scheduling, including respect and policy iteration. This example-rich guide will introduce you to deep reinforcing stimulus learning algorithms, such as Dueling DQN, DRQN, A3C, PPO, and TRPO. You will besides learn about imagination-augmented agents, learning from homo preference, DQfD, HER, and many more of the late advancements in reward learn. By the end of the koran, you will have all the cognition and experience needed to implement reinforcement learn and thick support learning in your projects, and you will be all set to enter the global of artificial news. publisher ‘s page Mastering numeral Computing with NumPy Umit Mert Cakmak, Mert Cuhadaroglu ISBN 13 : 9781788993357 Packt 248 Pages ( June 2018 ) Book Overview: Enhance the world power of NumPy and start boosting your scientific computer science capabilities Beginning with NumPy ‘s arrays and functions, you will familiarize yourself with linear algebra concepts to perform vector and matrix mathematics operations. You will thoroughly sympathize and practice data serve, exploratory data analysis ( EDA ), and predictive model. You will then move on to working on practical examples which will teach you how to use NumPy statistics in order to explore US housing data and develop a predictive model using simple and multiple analogue arrested development techniques. once you have got to grips with the basics, you will explore unsupervised eruditeness and clustering algorithm, followed by understanding how to write better NumPy code while keeping advance considerations in thinker. The book besides demonstrates the use of unlike high-performance numerical calculate libraries and their kinship with NumPy. You will study how to benchmark the operation of different configurations and choose the best for your system. By the end of this bible, you will have become an expert in handling and performing complex data manipulations. publisher ‘s page Learn Python Programming – second Edition Fabrizio Romano ISBN 13 : 9781788996662 Packt 508 Pages ( June 2018 ) Book Overview: Build a upstanding foundation in coding by utilizing the language and its core characteristics You will begin by exploring the foundations of and cardinal topics on Python and learn to manipulate them. then, you ‘ll explore unlike programming prototype that will allow you to find the best approach path to a site, and you ’ ll besides understand how to carry out performance optimization vitamin a well as effective debug. As you make your way through the chapters, you ‘ll control the run of a program, and persevere and utilize an interchange format to exchange data. You ‘ll besides walk through cryptanalytic services in Python and understand secure tokens. passim, the book covers assorted types of applications, and it concludes with building real-world applications based on all the concepts that you learned. By the end of the book, you ‘ll have a proper understand of the Python language and a solid grasp on how to work with data. You ‘ll know how to quickly build a web site and harness the power of Python ‘s celebrated data skill libraries. publisher ‘s page Hands-On Enterprise Automation with Python Basim Aly ISBN 13 : 9781788998512 Packt 398 Pages ( June 2018 ) Book Overview: Invent your own Python scripts to automate your infrastructure We ’ ll explore examples of network automation tasks using simple Python programs and Ansible. Next, we will walk you through automating administration tasks with Python Fabric, where you will learn to perform server configuration and administration, along with system administration tasks such as exploiter management, database management, and work management. As you progress through this book, you ’ ll automatize several testing services with Python scripts and perform automation tasks on virtual machines and mottle infrastructure with Python. In the concluding chapters, you will cover Python-based offensive security tools and learn how to automate your security tasks. By the end of this koran, you will have mastered the skills of automating several system presidency tasks with Python. publisher ‘s page Mastering Machine Learning for Penetration Testing Chiheb Chebbi ISBN 13 : 9781788997409 Packt 276 Pages ( June 2018 ) Book Overview: Become a master at penetration testing using machine learning with Python This script begins with the basics of machine learning and the algorithm used to build robust systems. once you ’ ve gained a clean understand of how security products leverage machine determine, you ‘ll dive into the core concepts of breaching such systems. Through virtual use cases, you ’ ll see how to find loopholes and surpass a self-learning security system. As you make your way through the chapters, you ’ ll focus on topics such as network trespass detection and AV and IDS evasion. We ’ ll besides cover the best practices when identifying ambiguities, and across-the-board techniques to breach an intelligent arrangement. By the end of this book, you will be well-versed with identifying loopholes in a self-learning security system and will be able to efficiently breach a machine learn organization publisher ‘s foliate Deep Learning Projects with PyTorch ( Video ) Ashish Singh Bhatia ISBN 13 : 9781788997591 Packt Course Length : 3 hours ( June 2018 ) Video Overview: gradation into the world of PyTorch to create deep memorize models with the avail of real-world examples PyTorch is a deep Learning model that is a boon for researchers and data scientists. It supports Graphic Processing Units and is a platform that provides maximum flexibility and accelerate. With PyTorch, you can dynamically build neural networks and easily perform gain Artificial Intelligence tasks. The naturally starts with the fundamentals of PyTorch and how to use basic commands. next, you ’ ll memorize about Convolutional Neural Networks ( CNN ) through an example of persona recognition, where you ’ ll look into images from a machine perspective. The following project shows you how to predict fictional character sequence using Recurrent Neural Networks ( RNN ) and Long Short Term Memory Network ( LSTM ). then you ’ ll memorize to work with autoencoders to detect citation wag fraud. After that, it ’ sulfur time to develop a system using Boltzmann Machines, where you ’ ll recommend whether to watch a movie or not. We ’ ll continue with Boltzmann Machines, where you ’ ll teach to give movie ratings using AutoEncoders. In the end, you ’ ll get to develop and train a model to recognize a photograph or an object from a given image using Deep Learning, where we ’ ll not only detect the supreme headquarters allied powers europe, but besides the semblance of the object. By the end of the course, you ’ ll be able to start using PyTorch to build Deep Learning models by implementing practical projects in the substantial earth. indeed, grab this course as it will take you through interesting real-world projects to train your foremost nervous nets. publisher ‘s page Computer Vision Projects with Python 3 ( Video ) Matthew Rever ISBN 13 : 9781788835565 Packt Course Length : 2 hours 19 minutes ( June 2018 ) Video Overview: research Python ’ s knock-down tools for extracting data from images and videos The Python program language is an ideal platform for quickly prototyping and developing production-grade codes for image processing and calculator vision with its full-bodied syntax and wealth of powerful libraries. This television course will start by showing you how to set up Anaconda Python for the major OSes with up-to-date third-party libraries for calculator vision. You ’ ll determine state-of-the-art techniques to classify images and find and identify humans within videos. adjacent, you ’ ll understand how to set up Anaconda Python 3 for the major OSes ( Windows, Mac, and Linux ) and augment it with the brawny vision and machine teach tools OpenCV and TensorFlow, a well as Dlib. You ’ ll be taken through the handwritten digits classifier and then move on to detecting facial features and finally develop a general picture classifier. By the conclusion of this course, you ’ ll know the basic tools of calculator vision and be able to put it into rehearse. publisher ‘s page Beginning Data Science with Python And Jupyter Alex Galea ISBN 13 : 9781789532029 Packt 194 Pages ( June 2018 ) Book Overview: Getting started with data skill does n’t have to be an acclivitous battle. This bit-by-bit steer is ideal for beginners who know a little Python and are looking for a quick, fast-paced presentation. Get to grips with the skills you need for entry-level data skill in this hands-on Python and Jupyter course. You ‘ll learn about some of the most normally use libraries that are separate of the Anaconda distribution, and then explore machine learning models with real datasets to give you the skills and exposure you need for the real universe. We ‘ll finish up by showing you how easy it can be to scrape and gather your own data from the unfold network, so that you can apply your fresh skills in an actionable context. publisher ‘s page Learning Python Web Penetration Testing christian Martorella ISBN 13 : 9781789533972 Packt 138 Pages ( June 2018 ) Book Overview: Leverage the chasteness of Python and available libraries to build vane security quiz tools for your application Learning Python Web Penetration Testing will walk you through the web lotion penetration testing methodology, showing you how to write your own tools with Python for each bodily process throughout the process. The book begins by emphasizing the importance of knowing how to write your own tools with Python for vane application penetration test. You will then learn to interact with a web application using Python, understand the anatomy of an HTTP request, URL, headers and message body, and by and by create a script to perform a request, and interpret the response and its headers. As you make your direction through the ledger, you will write a web crawler using Python and the Scrappy library. The book will besides help you to develop a cock to perform beastly coerce attacks in different parts of the web application. publisher ‘s page Learning Robotics using Python – second Edition Lentin Joseph ISBN 13 : 9781788623315 Packt 280 Pages ( June 2018 ) Book Overview: Design, model, and program interactional robots Robot Operating System ( ROS ) is one of the most popular robotics software frameworks in research and industry. It has versatile features for implementing different capabilities in a automaton without implementing them from scribble. This book starts by showing you the fundamentals of ROS so you understand the basics of derived function robots. then, you ‘ll learn about automaton modeling and how to design and simulate it using ROS. Moving on, we ‘ll design automaton hardware and interfacing actuators. then, you ‘ll learn to configure and program astuteness sensors and LIDARs using ROS. ultimately, you ‘ll create a GUI for your automaton using the Qt framework. By the end of this tutorial, you ‘ll have a clear estimate of how to integrate and assemble everything into a automaton and how to bundle the software software. publisher ‘s page Python Testing Cookbook – moment Edition Greg L. Turnquist, Bhaskar N. Das ISBN 13 : 9781787122529 Packt 396 Pages ( June 2018 ) Book Overview: Fix casual testing problems in Python with the aid of this solution-based guide automatize test is the best way to increase efficiency while reducing the defects of software testing. It helps find bugs in code easily and at an early stage so that they can be tackled efficiently. This book delves into substantive testing concepts used in Python to help you build full-bodied and maintainable code. Python Testing Cookbook begins with a brief introduction to Python ‘s whole testing model to help you write automated test cases. You will learn how to write desirable test sets for your software and run automated test suites with Nose. You will then work with the unittest.mock library, which allows you to replace the parts of your arrangement that are being tested with mock objects and make assertions about how they have been used. You will besides see how to apply Test-driven Development ( TDD ) and Behavior-driven Development ( BDD ) and how to eliminate issues caused by TDD. The script explains how to integrate automated tests using continuous Integration and perform smoke/load testing. It besides covers best practices and will help you solve persistent testing issues in Python. The book concludes by helping you understand how doctest works and how Selenium can be used to test code efficiently. publisher ‘s page Python Machine Learning in 7 Days ( Video ) Arish Ali ISBN 13 : 9781788999137 Packt Course Length : 2 hours 22 minutes ( June 2018 ) Video Overview: Build powerful Machine Learning models using Python with hands-on practical examples in equitable a week. machine determine is one of the most sought skills in the marketplace. But have you ever wondered where to start or found the class not indeed easy to follow. With this hands-on and practical car learning naturally, you can learn and start applying machine teach in less than a workweek without having to be an expert mathematician. In this naturally, you will be introduced to a new machine learning view in each section followed by a practical appointment as a homework to help you in efficiently implement the learnings in a virtual manner. With the systematic and fast-paced approach to this path, teach machine learning using Python in the most practical and structure way to develop machine learning projects in Python in a workweek. This run is structured to unlock the electric potential of Python car eruditeness in the shortest total of fourth dimension. If you are looking to upgrade your machine determine skills using Python in the quickest possible time, then this naturally is for you ! publisher ‘s page Hands-On Unsupervised Learning with Python ( Video ) Stefan Jansen ISBN 13 : 9781788992855 Packt Course Length : 3 hours 34 minutes ( June 2018 ) Video Overview: Use Python to apply market basket analysis, PCA and dimensionality decrease, a well as cluster algorithm This course explains the most important Unsupervised Learning algorithms using real-world examples of business applications in Python code. Say you have millions of transaction data on products purchased at a retailer. Which individual products or merchandise categories are most likely to be purchased together ? How about a large number of view responses – which answers were most often given together, for all or some subset of respondents ? Association Rules provide answers to these questions, and they are most frequently used in Market Basket Analysis. The Apriori Algorithms solves the formidable computational challenges of calculating Association Rules. After taking this course, you will be understanding and be able to apply the Apriori Algorithm to calculate, interpret and create interactional visualizations of association rules. This course will allow you to utilize Principal Component Analysis, and to visualize and interpret the results of your datasets such as the ones in the above description. You will besides be able to apply hard and soft cluster methods ( k-Means and gaussian Mixture Models ) to assign segment labels to customers categorized in your sample data sets. publisher ‘s foliate Learn Python in 3 Hours ( Video ) Rudy Lai ISBN 13 : 9781788995931 Packt Course Length : 2 hours 36 minutes ( June 2018 ) Video Overview: App development, data skill, automation, web quarrel or computer vision—Make the trade to Python quickly You are a programmer. You already know many languages, but Python is n’t one of them. today, you need to get up-to-speed with Python in a unretentive period of time, but your search has therefore far come up with disconnected, unrelated tutorials or guides. Learn Python in 3 hours is a fast-paced, action-packed course that maximizes your fourth dimension ; it ‘s designed from the ground up to bring you from zero to hero in the short clock time. The course is based on many years of Python development experience in both large enterprises and agile startups. In particular, the path ‘s hands-on and hardheaded approach path comes from the generator ‘s experience in quickly iterating and shipping products in a inauguration dress, where responsiveness and accelerate are key. With Learn Python in 3 hours, you will be up-and-running with Python like you are with your other languages, proving your value and expertness to your team today, and building your one hundred five and skillset for tomorrow publisher ‘s page Python Deep Learning Solutions ( Video ) Indra den Bakker ISBN 13 : 9781789531602 Packt Course Length : 1 hour 45 minutes ( June 2018 ) Video Overview: Over 20 hardheaded videos on neural network model, support learning, and transfer learning using Python bass Learning is revolutionizing a wide range of industries. For many applications, Deep Learning has been proven to outperform humans by making faster and more accurate predictions. This path provides a top-down and bottom-up overture to demonstrating Deep Learning solutions to real-world problems in different areas. These applications include Computer Vision, Generative Adversarial Networks, and prison term series. This course presents technical solutions to the issues presented, along with a detailed explanation of the solutions. furthermore, it provides a discussion on the corresponding pros and cons of implementing the proposed solution using a popular framework such as TensorFlow, PyTorch, and Keras. The course includes solutions that are related to the basic concepts of neural networks ; all techniques, angstrom well as classical network topologies, are covered. The main function of this television course is to provide Python programmers with a detail list of solutions so they can apply Deep Learning to coarse and not-so-common scenarios. publisher ‘s foliate 2018 Python Regular Expressions – real World Projects ( Video ) Chandra Lingam ISBN 13 : 9781789539523 Packt Course Length : 3 hours 10 minutes ( June 2018 ) Video Overview: Learn up-to-date form matching skills for log mining, big data parse, cleaning and cooking with Regex Welcome to Python Regular Expressions Course ! You will apply your fresh skills with four hands-on real-world projects. You will gain solid understand on type of performance issues regex can run into, and techniques to address them. As part of resources in this path, you will get a high-quality promptly reference point steer, an interactional tool, all the generator code and downloadable slides. Why Learn regular Expressions ? very often, the data that we need is not readily accessible or useful. Data training and clean-up is often one of the most time-consuming activities in a software automation project. alternatively of spend time writing code for all this, you can specify data patterns of interest and let regular expression engine do the employment for you. regular expression is cross-platform and you can learn the concepts once and use it in multiple programming languages and environment Looking forward to seeing you in the naturally ! God travel rapidly ! publisher ‘s page Python Machine Learning Tips, Tricks, and Techniques ( Video ) Valeriy Babushkin ISBN 13 : 9781789135817 Packt Course Length : 2 hours 46 minutes ( June 2018 ) Video Overview: Transform your childlike machine learning model into a cutting border powerful interpretation machine learn allows us to interpret data structures and fit that data into models to identify patterns and make predictions. Python makes this easier with its huge set of libraries that can be easily used for machine eruditeness. In this course, you will learn from a lead Kaggle chief to upgrade your Python skills with the latest advancements in Python. Each proficiency we cover is itself enough to improve your results. however ; combining them together is where the real charming is. Throughout the naturally, you will work on real datasets to increase your expertness and keep adding new tools to your machine memorize toolbox. By the end of this run, you will know respective tips, tricks, and techniques to upgrade your machine learning algorithms to reduce coarse problems, all the while building efficient machine learn models. publisher ‘s page natural Language Processing with TensorFlow Thushan Ganegedara ISBN 13 : 9781788478311 Packt 472 Pages ( May 2018 ) Book Overview: Write mod natural speech serve applications using deep learn algorithm and TensorFlow. Thushan Ganegedara starts by giving you a grounding in NLP and TensorFlow basics. You ‘ll then learn how to use Word2vec, including boost extensions, to create discussion embeddings that turn sequences of words into vectors accessible to deep learn algorithm. Chapters on classical trench learn algorithm, like convolutional nervous networks ( CNN ) and perennial neural networks ( RNN ), demonstrate important NLP tasks as conviction classification and language genesis. You will learn how to apply high-performance RNN models, like long short-run memory ( LSTM ) cells, to NLP tasks. You will besides explore neural machine translation and implement a nervous machine translator. After reading this book, you will gain an understanding of NLP and you ‘ll have the skills to apply TensorFlow in deep teach NLP applications, and how to perform specific NLP tasks. publisher ‘s page Data Visualization Recipes in Python ( Video ) Theodore Petrou ISBN 13 : 9781789340495 Packt Course Length : 1 hours 43 minutes ( MAY 2018 ) Video Overview: Utilize Python ’ s most efficient libraries—pandas, matplotlib, and Seaborn—for data visual image and prison term series analysis visual image is a critical component in exploratory data analysis, deoxyadenosine monophosphate well as presentations and applications. If you are struggling in your daily data analysis tasks, then this is the right course for you. This fast-pace guide follows a recipe-based overture, each video focusing on a commonly-faced offspring. This course covers advanced and powerful time series capabilities so you can dissect by any potential dimension of time. It introduces the Matplotlib library, which is responsible for all of the plot in lesser panda, at the lapp time focusing on the lesser panda diagram method acting and the Seaborn library, which is capable of producing aesthetically pleasing visualizations not directly available in lesser panda. This course guides you, as if you were looking over the shoulder of an adept, through virtual situations that you are highly likely to encounter. publisher ‘s page Hands-On Data Science with Anaconda Dr. Yuxing Yan, James Yan ISBN 13 : 9781788831192 Packt 364 Pages ( May 2018 ) Book Overview: Develop, deploy, and streamline your data skill projects with the most popular throughout platform, Anaconda Anaconda is an overt generator platform that brings together the best tools for data skill professionals with more than 100 popular packages supporting Python, Scala, and R languages. Hands-On Data Science with Anaconda gets you started with Anaconda and demonstrates how you can use it to perform data science operations in the real earth. The book begins with setting up the environment for Anaconda platform in order to make it accessible for tools and frameworks such as Jupyter, giant panda, matplotlib, Python, R, Julia, and more. You ’ ll walk through package director Conda, through which you can mechanically manage all packages including cross-language dependencies, and work across Linux, macOS, and Windows. You ’ ll explore all the essentials of data skill and linear algebra to perform data skill tasks using packages such as SciPy, contrastive, scikit-learn, Rattle, and Rmixmod. publisher ‘s page Python Robotics Projects Diwakar Vaish ISBN 13 : 9781788832922 Packt 340 Pages ( May 2018 ) Book Overview: Leverage the power of python to build DIY automatic projects Robotics is a aggressive industry. multiple surveys country that investment in the playing field has increased tenfold in the last 6 years, and is set to become a $ 100-billion sector by 2020. Robots are prevailing throughout all industries, and they are all set to be a region of our domestic lives. This bible starts with the facility and basic steps in configuring a automatic restrainer. You ‘ll then move on to setting up your environment to use Python with the robotic restrainer. You ‘ll dive deep into building simple automatic projects, such as a pet-feeding automaton, and more complicate projects, such as machine learn enabled home automation system ( Jarvis ), vision process based robots and a self-driven robotic vehicle using Python. publisher ‘s page Secret Recipes of the Python Ninja cody Jackson ISBN 13 : 9781788294874 Packt 380 Pages ( MAY 2018 ) Book Overview: Test your Python scheduling skills by solving real-world problems This record covers the undiscovered secrets of Python, delve into its depths, and uncover its mysteries. You ’ ll unearth secrets related to the execution of the standard library, by looking at how modules actually work. You ’ ll understand the implementation of collections, decimals, and divide modules. If you haven ’ metric ton used decorators, coroutines, and generator functions much ahead, as you make your way through the recipes, you ’ ll learn what you ’ ve been missing out on. We ’ ll cover internal especial methods in detail, so you understand what they are and how they can be used to improve the mastermind decisions you make. future, you ’ ll explore the CPython spokesperson, which is a gem treasure trove of secret hacks that not many programmers are aware of. We ’ ll take you through the depths of the PyPy project, where you ’ ll come across respective exciting ways that you can improve focal ratio and concurrence. publisher ‘s page Deep determine for NLP using Python ( Video ) tyler Edwards ISBN 13 : 9781788621700 Packt Course Length : 1 hours 51 minutes ( May 2018 ) Video Overview: Learn how to apply the concepts of deep determine to a diverse range of natural terminology process ( NLP ) techniques In this course, you ’ ll expand your NLP cognition and skills while implementing deep memorize tools to perform complex tasks. You ’ ll start by preparing your environment for NLP and then cursorily learn about language structure and how we can break sentences down to extract information and uncover the implicit in intend. After reviewing the basics, we ’ ll motivate on to speech recognition and show how cryptic learn can be used to build manner of speaking recognition applications. By the end of this tutorial, you ’ ll have a better agreement of NLP and will have worked on multiple examples that implement deep learning to solve real-world talk linguistic process problems. In particular, you ’ ll be able to discover utilitarian information and excerpt key insights from piles of natural speech data. publisher ‘s page Getting Started with Object-Oriented Programming in Python 3 ( Video ) Indrasen Pilankar ISBN 13 : 9781788629744 Packt Course Length : 2 hours 26 minutes ( May 2018 ) Video Overview: A practical set about to Object-Oriented Programming ( OOP ) in Python 3. The worldly concern is filled with coders, who write pieces of programs in a wish to find solutions to respective problems. In such a battlefield where the rival is already intense, you need a definitive edge over the respite. One of the better ways to stay ahead of the clique is to write chic code. Writing boastfully programs can be painful. That ’ s where Object-Oriented Programming ( OOP ) comes to the rescue. OOP saves a considerable measure of coding man-hours in the hanker campaign by writing code in a smart way, through versatile techniques. To ensure effective tease, you will be introduced to Exceptions and Error Handling. Furthermore, Encapsulation with methods and variables will help you to keep data safe from external, undesirable noise. In the final sections, you will be taken through recursion mechanisms. By the end of this course, you will be well-versed with the OOP techniques in Python 3, which will help you to write codes better and in an efficient manner. publisher ‘s page Modeling and Visualization of Data in Pandas ( Video ) Prabhat Ranjan ISBN 13 : 9781788471312 Packt Course Length : 1 hour 21 minutes ( May 2018 ) Video Overview: Learn how to model and visualize data in Python through Pandas data library This video course will support users as they work through a typical real-world data analysis project bit-by-bit using Pandas. It develops the abstruse cognition and skills that will enable students to immediately tackle their own projects with Pandas at work. This merchandise demonstrates how to make fiscal models using Python ‘s software library for data handling and psychoanalysis. publisher ‘s page Python By Example ( Video ) Burkhard Meier ISBN 13 : 9781788625807 Packt Course Length : 3 hours 20 minutes ( May 2018 ) Video Overview: practical coding projects to get you up and running with Python in no clock time This video course explores Python basics, data structures, and algorithm. We ‘ll build a die rolling simulator to see how to use Python dictionaries, loops, functions, and control statements. Next we will use a modular approach to build a game that consists of a deck of playing cards. We will use object-oriented ( OOP ) Python classes to do so. We will display the play cards both in a textual form, which we create, arsenic well as via visualize files. This will lead to our displaying card images in a graphic human body using Python ‘s built-in Tkinter package. publisher ‘s page Applications of Statistical Learning with Python ( Video ) Curtis Miller ISBN 13 : 9781788295499 Packt Course Length : 1 hours 44 minutes ( May 2018 ) Video Overview: Turn practical hands-on projects such as language process, computer imagination, sentiment analysis, and text work into utilitarian application in Python to take your skills to another charge ! You ’ ll learn to read text in documents using different models, and employment opinion analysis to predict the author ’ second intent. You ’ ll besides see how to employ Python to read images and for calculator vision. Once you ’ ve learned to employ specific Python packages and syntax for these tasks, you ’ ll explore case studies that put forth solid real-world examples on spam filter and analyzing human emotions through a dictionary of images. This course contains in-depth contented balanced with tutorials that put theory into commit. This course will give you both a theoretical sympathize and practical exp with examples that will allow you indulge in the artwork of statistical model and analysis using the Python programming speech. publisher ‘s page

machine Learning for OpenCV – Advanced Methods and Deep Learning ( Video ) Michael Beyeler ISBN 13 : 9781789340525 Packt Course Length : 2 hours and 25 minutes ( May 2018 ) Video Overview: A practical presentation to the earth of machine memorize and image process using OpenCV and Python This course will cover substantive concepts such as classifiers and clustering and will besides help you get acquainted with neural networks and Deep Learning to address real-world problems. The course will besides guide you through creating customs graph and visualizations, and show you how to go from bare-assed data to beautiful visualizations. By the end of this course, you will be fix to create your own ML system and will besides be able to take on your own machine learn problems. publisher ‘s page hands-on Test Driven Development with Python ( Video ) Richard Wells ISBN 13 : 9781789138313 Packt Course Length : 2 hours and 18 minutes ( May 2018 ) Video Overview: Apply the practices of Test-Driven Development using the PyTest framework to easily create your unit tests In this television tutorial, you ’ ll learn about the PyTest screen library and how it ’ s used to write unit of measurement tests in Python. You ’ ll besides set up some common Python growth environments to use PyTest. You ’ ll create isolate test environments with Test Doubles and learn how to implement and use them with unittest.mock. Moving on, you ’ ll get to know some of the best practices in Unit Testing and TDD and get some hands-on experience with programming by implementing unit tests using TDD in Python. By the end of this path, you ’ ll be able to apply the practices of Unit Testing and TDD on a daily basis to radically increase the quality of your code and aid you and your company achieve your goals faster than always before. publisher ‘s page Hands-On MQTT Programming with Python Gastón C. Hillar ISBN 13 : 9781789138542 Packt 228 Pages ( May 2018 ) Book Overview: Explore the features included in the latest versions of MQTT for IoT and M2M communications and use them with advanced Python 3. MQTT is a lightweight message protocol for belittled sensors and mobile devices. This book explores the features of the latest versions of MQTT for IoT and M2M communications, how to use them with Python 3, and allow you to interact with sensors and actuators using Python. The book begins with the specific vocabulary of MQTT and its working modes, followed by installing a Mosquitto MQTT agent. You will use different utilities and diagrams to understand the most crucial concepts related to MQTT. You will learn to make all the necessary configuration to work with digital certificates for encrypting all data sent between the MQTT clients and the server. You will besides work with the different Quality of Service levels and former analyze and compare their overheads. You will write Python 3.x code to control a vehicle with MQTT messages delivered through encrypted connections ( TLS 1.2 ), and learn how leverage your cognition of the MQTT protocol to build a solution based on requirements. Towards the end, you will write Python code to use the PubNub cloud-based real-time MQTT provider to monitor a browse competition. In the end, you will have a solution that was built from scribble by analyzing the requirements and then write Python code that will run on water-proof IoT boards connected to multiple sensors in surfboards. publisher ‘s page Python GUI programming with Tkinter Alan D. Moore ISBN 13 : 9781788835886 Packt 452 Pages ( May 2018 ) Book Overview: Find out how to create visually stun and feature-rich applications by empowering Python ‘s built-in TKinter GUI toolkit Tkinter is a lightweight, portable, and easy-to-use graphic toolkit available in the Python Standard Library, widely used to build Python GUIs due to its ease and handiness. This book teaches you to design and build graphic exploiter interfaces that are functional, appealing, and user-friendly using the knock-down combination of Python and Tkinter. After being introduced to Tkinter, you will be guided bit-by-bit through the application development process. Over the course of the record, your application will evolve from a simple data-entry mannequin to a building complex data management and visual image tool while maintaining a clean and robust design. In accession to building the GUI, you ‘ll learn how to connect to external databases and network resources, test your code to avoid errors, and maximize performance using asynchronous scheduling. You ‘ll make the most of Tkinter ‘s cross-platform handiness by learning how to maintain compatibility, mimic platform-native look and feel, and build executables for deployment across democratic calculation platforms. By the end of this book, you will have the skills and confidence to design and build powerful high-end GUI applications to solve real-world problems. publisher ‘s page Python Penetration Testing Essentials – second base Edition Mohit ISBN 13 : 9781789138962 Packt 230 Pages ( May 2018 ) Book Overview: This book gives you the skills you need to use Python for penetration test, with the help of detailed code examples. This reserve has been updated for Python 3.6.3 and Kali Linux 2018.1. We start by exploring the basics of networking with Python and then proceed to network hacking. then, you will delve into exploring Python libraries to perform diverse types of pentesting and ethical chop techniques. following, we delve into hacking the application level, where we start by gathering information from a web site. We then move on to concepts related to website hacking—such as parameter tamper, DDoS, XSS, and SQL injection. By reading this book, you will learn different techniques and methodologies that will familiarize you with Python pentesting techniques, how to protect yourself, and how to create automated programs to find the admin console table, SQL injection, and XSS attacks. publisher ‘s page Text Processing Using NLTK in Python ( Video ) Krishna Bhavsar, Naresh Kumar, Pratap Dangeti ISBN 13 : 9781789348989 Packt Course Length : 1 hour 24 minutes ( April 2018 ) Video Overview: Learn the tricks and tips that will help you design Text Analytics solutions natural Language Processing ( NLP ) is a have of Artificial Intelligence concerned with the interactions between computers and human ( lifelike ) languages. This course includes alone videos that will teach you assorted aspects of performing Natural Language Processing with NLTK—the leading Python platform for the task. In this path, you will learn what WordNet is and explore its features and use. It will teach how to extract raw text from web sources and introduce some critical pre-processing steps. You will besides get familiarized with the concept of blueprint matching as a way to do text analysis. By the end of the course, you will be confident & have covered diverse solutions, covering natural linguistic process agreement, Natural Language Processing, and syntactic analysis. publisher ‘s page deeply Learning with PyTorch ( Video ) Anand Saha ISBN 13 : 9781788475266 Packt Course Length : 4 hours 42 minutes ( April 2018 ) Video Overview: Build useful and effective deep determine models with the PyTorch Deep Learning framework In this course, you will learn how to accomplish useful tasks using Convolutional Neural Networks to process spatial data such as images and using Recurrent Neural Networks to process consecutive data such as text. You will explore how you can make use of unlabeled data using Auto Encoders. You will besides be training a nervous network to learn how to balance a pole all by itself, using Reinforcement Learning. Throughout this journey, you will implement assorted mechanisms of the PyTorch framework to do these tasks. By the end of the video course, you will have developed a good understand of, and feeling for, the algorithm and techniques used. You ‘ll have a good cognition of how PyTorch works and how you can use it in to solve your daily machine teach problems. publisher ‘s foliate Text mine with Machine Learning and Python { Video } Thomas Dehaene ISBN 13 : 9781789137361 Packt Course Length : 2 hours 26 minutes ( April 2018 ) Video Overview: Get high-quality information from your text using Machine Learning with Tensorflow, NLTK, Scikit-Learn, and Python text is one of the most actively researched and widely banquet types of data in the Data Science field today. New advances in machine determine and abstruse determine techniques now make it potential to build antic data products on text sources. New exciting text data sources pop up all the time. You ‘ll build your own toolbox of know-how, packages, and working code snippets so you can perform your own text mining analyses. You ‘ll start by understanding the fundamentals of advanced text mine and move on to some excite processes involved in it. You ‘ll learn how machine memorize is used to extract meaningful information from text and the different processes involved in it. You will learn to read and process text features. then you ‘ll learn how to extract information from text and work on pre-trained models, while besides delving into text classification, and entity extraction and classification. You will explore the work of bible implant by working on Skip-grams, CBOW, and X2Vec with some extra and important text mine processes. By the end of the course, you will have learned and understood the diverse aspects of textbook mine with ML and the important processes involved in it, and will have begun your travel as an effective textbook miner. publisher ‘s page Troubleshooting Python Machine Learning { Video } Rudy Lai ISBN 13 : 9781788999229 Packt Course Length : 3 hours 17 minutes ( April 2018 ) Video Overview: Practical and unique solutions to coarse Machine Learning problems that you face. Avoid any roadblocks while working with the Python data science ecosystem. You are a data scientist. Every day, you stare at reams of data trying to apply the latest and brightest of models to uncover fresh insights, but there seems to be an endless add of obstacles. Your colleagues depend on you to monetize your firm ‘s data – and the clock is ticking. What do you do ? Troubleshooting Python Machine Learning is the answer. We have systematically researched park ML problems documented on-line around data wrangle, debugging models such as Random Forests and SVMs, and visualizing catchy results. We leverage statistics from Stack Overflow, Medium, and GitHub to get a cross-section of what datum scientists struggle with. We have collated for you the acme issues, such as retrieving the most important arrested development features and explaining your results after clustering, and their equate solutions. We award these case studies in a problem-solution format, making it very easy for you to incorporate this into your cognition. publisher ‘s page Python For Offensive PenTest Hussam Khrais ISBN 13 : 9781788838979 Packt 176 Pages ( April 2018 ) Book Overview: Your one-stop usher to using Python, creating your own hack tools, and making the most out of resources available for this program terminology This book is packed with bit-by-bit instructions and working examples to make you a skilled penetration examiner. It is divided into clear bite-sized chunks, so you can learn at your own pace and focus on the areas of most interest to you. This book will teach you how to code a reverse shell and build an anonymous carapace. You will besides learn how to hack passwords and perform a privilege escalation on Windows with virtual examples. You will set up your own virtual hack environment in VirtualBox, which will help you run multiple operating systems for your testing environment. By the end of this book, you will have learned how to code your own scripts and mastered ethical hack from scratch. publisher ‘s page Developing NLP Applications Using NLTK in Python ( Video ) Krishna Bhavsar, Naresh Kumar, Pratap Dangeti ISBN 13 : 9781789343335 Packt Course Length : 1 hour and 17 minutes ( April 30, 2018 ) Video Overview: Learn a practical vantage point to understand and implement NLP solutions involving POS chase, parse, and much more This course is designed with advanced solutions that will take you from newbie to pro in performing Natural Language Processing with NLTK. In this course, you will come across versatile concepts covering natural language sympathize, Natural Language Processing, and syntactic analysis. It consists of everything you need to efficiently use NLTK to implement text classification, identify parts of language, tag words, and more. You will besides learn how to analyze sentence structures and master syntactic and semantic analysis.By the end of this course, you will have all the cognition you need to implement Natural Language Processing with Python. publisher ‘s page Matplotlib for Python Developers – second base Edition Aldrin Yim, Claire Chung, Allen Yu ISBN 13 : 9781788625173 Packt 300 Pages ( April 2018 ) Book Overview: Leverage the power of Matplotlib to visualize and understand your data more effectively Matplotlib is a popular data visual image package in Python used to design effective plots and graph. This is a hardheaded, hands-on resource to help you visualize data with Python using the Matplotlib library. Matplotlib for Python Developers, Second Edition shows you how to create attractive graph, charts, and plots using Matplotlib. You will besides get a quick introduction to third-party packages, Seaborn, Pandas, Basemap, and Geopandas, and learn how to use them with Matplotlib. After that, you ’ ll implant and customize your plots in third-party tools such as GTK+3, Qt 5, and wxWidgets. You ’ ll besides be able to tweak the spirit and spirit of your visual image with the assistant of virtual examples provided in this book. publisher ‘s foliate Functional Python Programming – second Edition Steven F. Lott ISBN 13 : 9781788627061 Packt 408 Pages ( April 2018 ) Book Overview: Create compendious and expressive implementations with functional program in Python Starting with a cosmopolitan overview of functional concepts, you ’ ll explore common functional features such as excellent and higher-order functions, saturated functions, and more. You ’ ll see how these are accomplished in Python 3.6 to give you the core foundations you ’ ll build up upon. After that, you ’ ll unwrap common functional optimizations for Python to help your apps reach even higher speeds. You ’ ll learn FP concepts such as lazy evaluation using Python ’ s generator functions and expressions. Moving forward, you ’ ll teach to design and implement decorators to create composite functions. You ‘ll besides explore data formulation techniques and data exploration in depth, and see how the Python criterion library fits the functional program model. ultimately, to top off your travel into the world of functional Python, you ’ ll at look at the PyMonad project and some larger examples to put everything into perspective. publisher ‘s page Machine Learning Solutions Jalaj Thanaki ISBN 13 : 9781788390040 Packt 566 Pages ( April 2018 ) Book Overview: practical, hands-on solutions in Python to overcome any trouble in Machine Learning The book includes a wide image of applications : from analytics and NLP, to calculator sight domains. Some of the applications you will be working on include stock price prediction, a recommendation engine, building a chat-bot, a facial expression recognition system, and many more. The trouble examples we cover include identifying the good algorithm for your dataset and use cases, creating and labeling datasets, getting enough clean data to carry out process, identifying outliers, overftting datasets, hyperparameter tune, and more. here, you ‘ll besides learn to make more timely and accurate predictions. In addition, you ‘ll deal with more advanced use cases, such as building a gambling bot, building an extractive summarization tool for checkup documents, and you ‘ll besides tackle the problems faced while building an ML model. By the end of this book, you ‘ll be able to fine-tune your models as per your needs to deliver maximum productiveness. publisher ‘s page Mastering Geospatial Analysis with Python Paul Crickard, Eric van Rees, Silas Toms ISBN 13 : 9781788293334 Packt 440 Pages ( April 2018 ) Book Overview: explore GIS work and learn to work with respective tools and libraries in Python. Python comes with a host of loose source libraries and tools that help you work on professional geoprocessing tasks without investing in expensive tools. This record will introduce Python developers, both new and experience, to a diverseness of fresh code libraries that have been developed to perform geospatial analysis, statistical analysis, and data management. This book will use examples and code snippets that will help explain how Python 3 differs from Python 2, and how these new code libraries can be used to solve age-old problems in geospatial analysis. You will begin by understanding what geoprocessing is and explore the tools and libraries that Python 3 offers. You will then learn to use Python code libraries to read and write geospatial data. You will then learn to perform geospatial queries within databases and learn PyQGIS to automate analysis within the QGIS function suite. Moving ahead, you will explore the newly released ArcGIS API for Python and ArcGIS Online to perform geospatial analysis and create ArcGIS Online web maps. Further, you will deep dive into Python Geospatial vane frameworks and learn to create a geospatial REST API. publisher ‘s page Apache Spark with Python – Big Data with PySpark and Spark ( Video ) James Lee et alabama ISBN 13 : 9781789133394 Packt Course Length : 3 hours and 18 minutes ( April 2018 ) Video Overview: Learn Apache Spark and Python by 12+ hands-on examples of analyzing big data with PySpark and Spark This course covers all the fundamentals of Apache Spark with Python and teaches you everything you need to know about developing Spark applications using PySpark, the Python API for Spark. At the end of this course, you will gain in-depth cognition about Apache Spark and general large datum analysis and manipulations skills to help your company to adopt Apache Spark for building big data work grapevine and data analytics applications. This class covers 10+ hands-on big data examples. You will learn valuable cognition about how to frame data psychoanalysis problems as Spark problems. Together we will learn examples such as aggregating NASA Apache weblogs from unlike sources ; we will explore the price drift by looking at the real estate of the realm data in California ; we will write Spark applications to find out the median wage of developers in different countries through the Stack Overflow survey data ; we will develop a system to analyze how makerspaces are distributed across different regions in the United Kingdom. And a lot much more. publisher ‘s page Building Serverless Applications with Python Jalem Raj Rohit ISBN 13 : 9781787288676 Packt 272 Pages ( April 2018 ) Book Overview: Building effective Python applications at minimal cost by adopting serverless architectures Serverless architectures allow you to build and run applications and services without having to manage the infrastructure. many companies have adopted this computer architecture to save monetary value and improve scalability. This ledger will help you design serverless architectures for your applications with AWS and Python. The script is divided into three modules. The first gear faculty explains the fundamentals of serverless computer architecture and how AWS lambda functions work. In the future faculty, you will learn to build, publish, and deploy your application to production. You will besides learn to log and test your application. In the third base faculty, we will take you through advanced topics such as building a serverless API for your application. You will besides learn to troubleshoot and monitor your app and master AWS lambda programming concepts with API references. Moving on, you will besides learn how to scale up serverless applications and handle distribute serverless systems in production. publisher ‘s page All-in-One Introduction to Programming ( Video ) Aubrey Love II ISBN 13 : 9781788835206 Packt Course Length : 2 hours 45 minutes ( APRIL 2018 ) Video Overview: Five languages in five hours. Get started with program in HTML5, CSS3, Python, C++, and more ! In this course, you will get to know 5 different languages, compilers, and editors for program and then you will use HTML5 and CSS3 to build your own company web site. As you have successfully stepped into the global of program, you will now delve into one of the most normally use Android systems and build an perplex Android application for your party. Next you will master Python and start scripting to build your own Hello World Program. For many people, C++ is just a dream but you will easily master this terminology and course of study your Hello World App with C++. now since you know 5 top languages, you can create a good résumé, create on-line visibility, and forge ahead in your career. You ‘ll understand respective aspects of application growth and we guarantee that, by the end of the television, you ‘ll have your identical own lotion up-and-running. For the audacious at heart, we besides have exercises, at the end of each chapter, which will intrigue you and encourage you to add your own personal touch to the code ( and ultimately your application ). publisher ‘s foliate Data Visualization Projects in Python ( Video ) Harish Garg ISBN 13 : 9781788830416 Packt Course Length : 1 hour 06 minutes ( APRIL 2018 ) Video Overview: Data Visualization with bqplot, NetworkX, and Bokeh in Python You will start by programming stunning synergistic Data Visualizations using bqplot, an open source Python library developed by Bloomberg. then you will learn how to programmatically create synergistic net graph and visualizations. You will then programmatically visualize data with the synergistic Python visual image library, Bokeh. ultimately, you will build synergistic web visualizations of data using Python : you will choose a count of inputs your users can control, then use any Python graph library to create plots based on those inputs. publisher ‘s page Python for Everyday Life ( Video ) Claudio Sparpaglione ISBN 13 : 9781788621953 Packt Course Length : 14 hours 22 minutes ( APRIL 2018 ) Video Overview: Make your day and master the Python : a potent and versatile language and ecosystem that can help you save time and money. This video class is about leveraging the Python programming linguistic process and its boom ecosystem to save yourself fourth dimension and money when doing common act tasks. cipher wants to do bore and time-consuming tasks : days have 24 hours and you should squeeze out the most of this time for yourself – automating the boring tasks gives you rear prison term to focus on what you actually like to do. furthermore, this is besides the luck for you to learn a big general-purpose lyric such as Python, with which you can build very cool applications both at work and in your spare clock time. The course is structured as an incremental eruditeness path : you will start with a deep-dive into Python software development basics, then move on to write scripts to automate file organization operations and file contents processing on your local host, then you will learn how to interact with web-based services such as websites and APIs in order to robotize the cool things that we do everyday – such as pinch, posting to social networks, reading RSS feeds, etc. – furthermore you will practice how to set up a web-based services yourself in the mannequin of network applications and in the end you will learn how to analyze and visualize datasets in order to extract cognition. By the end of this course you will have learned how to proficiently write structured Python code in a wide range of applications – from one-liner scripts to building complex web applications – aiming at the automation of lots of common everyday life tasks. publisher ‘s page Machine Learning with scikit-learn and Tensorflow { Video } Nick Locascio ISBN 13 : 9781788629928 Packt Course Length : 3 hours 58 minutes ( MARCH 2018 ) Video Overview: Learn everything you need to know about Machine learning with Tensorflow and Scikit-Learn machine Learning is one of the most transformative and impactful technologies of our meter. From ad to healthcare, to self-driving cars, it is hard to find an industry that has not been or is not being revolutionized by machine learning. Using the two most popular frameworks, Tensor Flow and Scikit-Learn, this course will show you insightful tools and techniques for building intelligent systems. Using Scikit-learn you will create a Machine Learning project from strike, and, use the Tensor Flow library to build and train professional neural networks. We will use these frameworks to build a diverseness of applications for problems such as ad ranking and sentiment classification. The course will then take you through the methods for unsupervised eruditeness and what to do when you have limited or no labels for your data. We use the techniques we have learned, along with some new ones, to build a opinion classifier, an autocomplete keyboard and a topic finder. publisher ‘s page Hands – On Reinforcement Learning with Python { Video } Rudy Lai ISBN 13 : 9781788392402 Packt Course Length : 4 hours 28 minutes ( MARCH 2018 ) Video Overview: A practical tour of prediction and dominance in Reinforcement Learning using OpenAI Gym, Python, and TensorFlow strengthener learn ( RL ) is hot ! This ramify of machine learning powers AlphaGo and Deepmind ‘s Atari AI. It allows programmers to create software agents that learn to take optimum actions to maximize reward, through trying out different strategies in a given environment. This run will take you through all the core concepts in Reinforcement Learning, transforming a theoretical capable into tangible Python cryptography exercises with the aid of OpenAI Gym. The television will first usher you through the gymnasium environment, solving the CartPole -v0 plaything robotics problem, before moving on to coding up and solving a multi-armed bandit problem in Python. As the course ramps up, it shows you how to use dynamic scheduling and TensorFlow -based nervous networks to solve GridWorld, another OpenAI Gym challenge. last, we take the Blackjack challenge and deploy model free algorithm that leverage Monte Carlo methods and Temporal Difference ( TD, more specifically SARSA ) techniques. publisher ‘s page Next Generation Natural Language Processing with Python { Video } Alexis Rutherford ISBN 13 : 9781789139938 Packt Course Length : 1 hour 56 minutes ( MARCH 2018 ) Video Overview: Practical techniques and methods to analyze your text data. Power your decision making using next generation libraries. The party you work for has accumulated a lot of valuable data from its customers, wholly stored as text, and you need to extract some rate from that datum. You ’ ve exhausted a lot of aggregate time writing about what they want but no-one knows what they have written about and no-one has the time to read all the messages. This run empowers you to know how to attack this and other text analysis problems to unlock value for your constitution. You ’ ll depart by seeing how NLP can help you extract useful information from boastfully collections of text data, and how you can use the latest python libraries for NLP. then we ’ ll testify you how to solve a hardheaded problem using NLP by building a spam SMS detector. You ’ ll besides learn to convert words into numbers that can be analyzed. publisher ‘s page Learn Machine Learning in 3 Hours ( Video ) Thomas Snell ISBN 13 : 9781788995580 Course Length : 2 hours 14 minutes ( March 2018 ) Video Overview: Get hands-on with car learning using Python Given the constantly increasing amounts of data they ‘re faced with, programmers have to come up with better solutions to make machines smarter and reduce manual make. In this Machine Learning course, you ‘ll use Python to craft better solutions and process them efficaciously. By the end of the course, you will be adept at using the concepts and algorithms involved in Machine Learning. This is a highly hardheaded path and will equip you with sufficient hands-on prepare to help you enforce ML skills right after finishing the run. publisher ‘s page Advanced Artificial Intelligence Projects with Python Joshua Eckroth ISBN 13 : 9781788832403 Packt Course Length : 2 hours 02 minutes ( March 2018 ) Video Overview: enter and explore the bewitching universe of intelligent applications with Artificial Intelligence using the Python program terminology Considered the Holy Grail of automation, datum analysis, and robotics, Artificial Intelligence has taken the global by storm as a major field of research and development. Python has surfaced as a overshadow lyric in AI/ML programming because of its ease and flexibility, in addition to its bang-up support for open source libraries such as spaced-out and TensorFlow. This television course is built for those with a basic understanding of artificial intelligence, introducing them to advanced artificial intelligence projects as they go ahead. The first project introduces natural lyric processing including part-of-speech tag and named entity origin. Wikipedia articles are used to demonstrate the extraction of keywords, and the Enron e-mail archive is mined for mentions and relationships of people, places, and organizations. publisher ‘s page Create Your own twist model with Neural Networks ( Video ) julian Avila ISBN 13 : 9781789130157 Packt Course Length : 1 hour and 24 minutes ( March 2018 ) Video Overview: AA one-stop solution to learning building complex models with Neural Networks and understanding the basics of Natural Language Processing. With this course you will learn the Decision Tree algorithm and ensemble Models to build Random Forest, Regression Analysis. You will focus on Decision Trees and Ensemble Algorithms. Moving fore, you learn to use scikit-learn to classify textbook and Multiclass with scikit-learn. You will explore versatile algorithms for categorization. You will besides look at Naive Bayes exemplary and Label Propagation. last, you ‘ll use Neural Networks using different Classifiers and create your own bare Estimator. publisher ‘s page Hands-on Artificial Intelligence with TensorFlow ( Video ) Saikat Basak ISBN 13 : 9781789135091 Packt Course Length : 1 hour and 36 minutes ( March 2018 ) Video Overview: A practical border on to deep learn and deep strengthener learning for building real-world applications using TensorFlow. This course will show you how to combine the exponent of Artificial Intelligence and TensorFlow to develop some excite applications for the real universe. This course will take you through all the relevant AI domains, tools, and algorithm required to build optimum solutions and will show you how to implement them hands-on. You will then be taken through techniques such as reinforcing stimulus learn, heuristic searches, nervous networks, Computer Vision, OpenAI Gym, and more in different stages of your lotion. This path will show you how to implement AI practically using TensorFlow models and how it eases the room you interact with the technology. You will learn how TensorFlow can be used to analyze a assortment of data sets and will learn to optimize assorted AI algorithm. By the goal of the course, you will have learned to build intelligent apps by leveraging the full electric potential of artificial Intelligence with TensorFlow. publisher ‘s page OpenCV 3 Computer Vision with Python Cookbook Alexey Spizhevoy, Aleksandr Rybnikov ISBN 13 : 9781788474443 Packt 306 Pages ( March 2018 ) Book Overview: Recipe-based set about to tackle the most coarse problems in Computer Vision by leveraging the functionality of OpenCV using Python APIs In this record, you will learn how to process an picture by manipulating pixels and analyze an visualize using histograms. then, we ‘ll show you how to apply image filters to enhance persona content and exploit the persona geometry in order to relay different views of a picture scene. We ’ ll research techniques to achieve television camera calibration and perform a multiple-view analysis. late, you ’ ll work on reconstructing a 3D scene from images, converting subordinate pixel data to high-level concepts for applications such as object detection and recognition. You ’ ll besides discover how to process video recording from files or cameras and how to detect and track moving objects. ultimately, you ‘ll get acquainted with late approaches in cryptic learn and neural networks. By the conclusion of the script, you ’ ll be able to apply your skills in OpenCV to create calculator vision applications in respective domains. publisher ‘s page Learning Concurrency in Python ( Video ) Elliot Forbes ISBN 13 : 9781789134346 Packt Course Length : 3 hours and 35 minutes ( March 2018 ) Video Overview: More than 20 videos to help you master concurrence in Python This run introduces some of the most popular libraries and frameworks and goes in-depth into how you can leverage these libraries for your own high-concurrent, highly-performant Python programs. We ‘ll cover the cardinal concepts of concurrence needed to be able to write your own coincident and parallel software systems in Python. The course will guide you down the path to mastering Python concurrence, giving you all the necessary hardware and theoretical cognition. We ‘ll cover concepts such as debug and exception handle ampere well as some of the most democratic libraries and frameworks that allow you to create event-driven and reactive systems. By the end of the video path, you ‘ll have learned techniques to write fabulously effective coincident systems that follow best practices. publisher ‘s foliate Hands-On Machine Learning with Python and Scikit-Learn ( Video ) taylor Smith ISBN 13 : 9781788991056 Packt Course Length : 2 hours 39 minutes ( March 2018 ) Video Overview: Understand and implement the best car Learning practices with the aid of herculean features of Python and scikit-learn This course will help you discover the charming black corner that is Machine Learning by teaching a hardheaded approach to modeling using Python along with the Scikit-Learn library. We begin our travel by observing the end leave of a Machine Learning deployment before moving back to the fundamentals and into exploratory data analysis. Moving on, we learn to develop complex pipelines and techniques for building customs transformer objects for feature extraction, manipulation, and early effective data cleansing techniques. finally, we discover how to select a model, apply optimum hyper-parameters, and deploy it. publisher ‘s page Practical Computer Vision Abhinav Dadhich ISBN 13 : 9781788297684 Packt 234 Pages ( February 2018 ) Book Overview: A virtual scout designed to get you from basics to current state of art in computer imagination systems. In this koran, you will find respective recently proposed methods in respective domains of computer vision. You will start by setting up the proper Python environment to work on practical applications. This includes setting up libraries such as OpenCV, TensorFlow, and Keras using Anaconda. Using these libraries, you ‘ll start to understand the concepts of persona transformation and filter. You will find a detailed explanation of sport detectors such as FAST and ORB ; you ‘ll use them to find similar-looking objects. With an introduction to convolutional neural nets, you will learn how to build a deep nervous web using Keras and how to use it to classify the Fashion-MNIST dataset. With regard to object detection, you will learn the execution of a simple face detector arsenic well as the workings of complex deep-learning-based object detectors such as Faster R-CNN and SSD using TensorFlow. publisher ‘s page Machine Learning with Scikit-learn ( Video ) Gavin Hackeling ISBN 13 : 9781789134780 Packt Course Length : 3 hours 21 minutes ( February 2018 ) Book OR Video Overview: Learn to implement and evaluate machine learning solutions with scikit-learn machine learning is the buzzword bringing calculator skill and statistics in concert to build smart and efficient models. Using brawny algorithms and techniques offered by machine determine, you can automate any analytic model. This course examines a diverseness of car learn models including democratic machine learning algorithms such as k-nearest neighbors, logistic regression, uninstructed Bayes, k-means, decision trees, and artificial nervous networks. It besides discusses data preprocessing, hyperparameter optimization, and ensemble methods. You will build systems that classify documents, spot images, detect ads, and more. You ’ ll memorize to use scikit-learn ’ s API to extract features from categoric variables, text and images ; evaluate model performance ; and develop an intuition for how to improve your exemplary ’ second operation. By the end of this course, you will master all ask concepts of scikit-learn to build effective models at work to carry out advance tasks with the practical approach. publisher ‘s page Data Visualization in Python by Examples ( Video ) Harish Kumar Garg ISBN 13 : 9781788838658 Packt Course Length : 1 hours 17 minutes ( February 2018 ) Video Overview: Data visual image with matplotlib, ggplot, and seaborn in Python Data visual image is fair a judicious investment in your future big-data needs. You will learn how to deploy maps and networks to display geographic and network data. To do this, we will focus on the follow very popular libraries in Python : matplotlib, ggplot, seaborn, and plotly. In this course, you will walk through some of the fundamentals of data visual image, sharing many examples of how to handle different types of data and how best to present your insights. We ‘ll take a look at chart types, such as Matplotlib for visualizing the impact of tornadoes in the US, north korean nuke tests on ball-shaped stocks, and analyze forex performances using charts. You will see how ggplot can be used to analyze trends in BRICS economies and crude vegetable oil price trends. You will see how to level up your data visual image skills using Python ‘s gain plat libraries : matplotlib and Seaborn, and how you can present the datum from the most mentally ill regions in the world through data visual image. publisher ‘s page Python Web Scraping Cookbook Michael Heydt ISBN 13 : 9781787285217 Packt 364 Pages ( February 2018 ) Book Overview: Untangle your web scraping complexities and access vane data with comfort using Python scripts good from extracting data from the websites to writing a advanced network earthworm, the script ‘s freelancer recipes will be a boom on the caper. This script covers Python libraries, requests, and BeautifulSoup. You will learn about crawl, world wide web spidering, working with AJAX websites, paginated items, and more. You will besides learn to tackle problems such as 403 errors, working with proxy, scraping images, LXML, and more. By the end of this book, you will be able to scrape websites more efficiently and to be able to deploy and operate your scraper in the cloud. publisher ‘s page Working with Big Data in Python ( Video ) Alex Rutherford ISBN 13 : 9781788839068 Course Length : 2 hours 41 minutes ( February 2018 ) Video Overview: Gain valuable insights from your data by streamlining unstructured data pipelines with Python, Spark, and MongoDB This course is a comprehensive, virtual template to using MongoDB and Spark in Python, learning how to store and make feel of huge data sets, and performing basic machine learning tasks to make predictions. MongoDB is one of the most herculean non-relational database systems available offering robust scalability and expressive operations that, when combined with Python data psychoanalysis libraries and distributed calculation, represent a valuable place of tools for the modern data scientist. NoSQL databases require a new way of thinking about data and scalable queries. once Mongo queries have been mastered, it is necessary to understand how we can leverage this API in Python ‘s rich analysis and visual image ecosystem. This path will cover how to use MongoDB, particularly if you are used to SQL databases, with a focus on scalability to large datasets. pyMongo is introduced as the means to interact with a MongoDB database from within Python code and the data structures used to do so are explored. MongoDB uniquely allows for complex operations and aggregations to be run within the question itself and we will cover how to use these operators. While MongoDB itself is built for slowly scalability across many nodes as datasets grow, Python is not. therefore, we cover how we can use Spark with MongoDB to handle more complex machine learning techniques for highly big datasets. This learn will be applied to several examples of real-world datasets and analyses that can form the footing of your own pipelines, allowing you to quickly get up-and-running with a mighty data skill toolkit. publisher ‘s foliate Learning PySpark ( Video ) Tomasz Drabas ISBN 13 : 9781788396592 Course Length : 2 hours 29 minutes ( February 2018 ) Video Overview: build and deploying data-intensive applications at scale using Python and Apache Spark You ‘ll learn about different techniques for collecting data, and spot between ( and understand ) techniques for processing data. adjacent, we provide an in-depth review of RDDs and contrast them with DataFrames. We provide examples of how to read data from files and from HDFS and how to specify schema using reflection or programmatically ( in the case of DataFrames ). The concept of faineant execution is described and we outline assorted transformations and actions specific to RDDs and DataFrames. finally, we show you how to use SQL to interact with DataFrames. By the end of this tutorial, you will have learned how to process data using Spark DataFrames and mastered data collection techniques by distributed datum processing. publisher ‘s page Concurrent Programming in Python ( Video ) BignumWorks Software LLP ISBN 13 : 9781788998031 Course Length : 2 hours 20 minutes ( February 2018 ) Video Overview: Harness the baron of modern code structures with Python to improve performance and flexibility Filled with examples, this run will show you all you need to know to start using concurrence in Python. You will learn about the principal approaches to concurrency that Python has to offer, including libraries and tools needed to exploit the operation of your central processing unit. Learn the basic theory and history of parallelism and choose the best approach when it comes to parallel process. After taking this course you will have gained an in-depth cognition of using threads and processes with the assistant of real-world examples. publisher ‘s page Concurrent Programming in Python ( Video ) BignumWorks Software LLP ISBN 13 : 9781788998031 Course Length : 2 hours 20 minutes ( February 2018 ) Video Overview: Harness the baron of modern code structures with Python to improve performance and flexibility Filled with examples, this course will show you all you need to know to start using concurrence in Python. You will learn about the chief approaches to concurrency that Python has to offer, including libraries and tools needed to exploit the operation of your processor. Learn the basic theory and history of parallelism and choose the best approach when it comes to parallel serve. After taking this course you will have gained an in-depth cognition of using threads and processes with the help of real-world examples. publisher ‘s page Deep Learning with PyTorch Vishnu Subramanian ISBN 13 : 9781788624336 Packt 262 Pages ( February 2018 ) Book Overview: Build neural net models in textbook, vision and advance analytics using PyTorch This script will get you up and running with one of the most up-to-date deep teach libraries— PyTorch. PyTorch is grabbing the attention of deep learn researchers and data science professionals due to its handiness, efficiency and being more native to Python way of development. You ‘ll start off by installing PyTorch, then quickly move on to learn assorted fundamental blocks that power modern bass learning. You will besides learn how to use CNN, RNN, LSTM and other networks to solve real-world problems. This record explains the concepts of assorted state-of-the-art deep determine architectures, such as ResNet, DenseNet, Inception, and Seq2Seq, without diving deep into the mathematics behind them. You will besides learn about GPU computing during the course of the bible. You will see how to train a model with PyTorch and dive into complex neural networks such as generative networks for producing text and images.By the end of the book, you ‘ll be able to implement deep learn applications in PyTorch with ease. publisher ‘s page Python Network Programming ( Video ) Eric Chou ISBN 13 : 9781788479387 Course Length : 2 hours and 3 minutes ( February 2018 ) Video Overview: achieve Network Engineering Tasks with Python You will learn to create excite Python apps to automate daily networking tasks such as configuring devices, collecting data about the network, testing by client simulations, or network discovery. This course will help you build some hypnotic network tools with Python, including a Subnet calculator ; configuring multiple network devices concurrently via SSH or Telnet ; a DHCP node simulator for testing a DHCP server in the local network ; network discovery via SNMP ; OS fingerprint ; and net attacks via Scapy. This tutorial uses real-life scenarios and use cases to help you build network automation tools with the amaze Python language. By the end of this course, you will be able to take your Python program skills to the following level for network automation. This course provides hands-on, interest examples with net and friendly explanations that students can follow along with, covers common mistakes, and provides utilitarian tips and in-the-trenches advice. There is a circumscribed total of theory ; alternatively, the examples are entire of real-world use cases. publisher ‘s page Python Programming Blueprints Daniel Furtado, Marcus Pennington ISBN 13 : 9781786468161 Packt 456 Pages ( February 2018 ) Book Overview: How to build utilitarian, real-world applications in the Python programming lyric In this reserve, we will cover some of the most common tasks that Python developers face on a daily footing, including performance optimization and making web applications more fasten. We will familiarize ourselves with the associated software smokestack and master asynchronous features in Python. We will build a weather application using command-line parse. We will then move on to create a Spotify outback control where we ‘ll use OAuth and the Spotify Web API. The following stick out will cover reactive extensions by teaching you how to cast votes on Twitter the Python means. We will besides focus on web exploitation by using the celebrated Django framework to create an on-line game storehouse. We will then create a web-based messenger using the new Nameko microservice framework. We will cover topics like authenticating users and, storing messages in Redis. By the end of the book, you will have gained hands-on have in coding with Python. publisher ‘s page Building Advanced OpenCV3 Projects with Python ( Video ) Riaz Munshi ISBN 13 : 9781788394291 Packt Course Length : 3 hours 30 minutes ( January 2018 ) Video Overview: Discover how to build promote OpenCV3 projects with Python This course features some trending applications of vision and deep eruditeness and will help you master these techniques. You will learn how to retrieve structure from gesticulate ( sfm ) and you will besides see how we can build an application to capture 2D images and join them dynamically to achieve street views by capturing camera projection angles and proportional effigy positions. You will besides learn how to track your head in 3D in real-time, and perform facial recognition against a goldenset. You will besides build an app to capture facial emotions based on a CovNet. adjacent, you ‘ll generate view using effigy sewing and we extend this concept by generating a map based on the trajectory of ISS. You ‘ll besides learn to build an lotion to capture beautiful view and besides achieve AR effects. You then delve into one of the most swerve domains of calculator vision : autonomous cars. You ‘ll learn about versatile architectures and develop the skills to detect lanes, and segment and track vehicles in traffic.You will be using Carla, which is a open driving simulator by Intel, for your project to train a car memorize how to drive itself using an throughout model. publisher ‘s page Deep Learning Essentials Wei Di, Anurag Bhardwaj, Jianing Wei ISBN 13 : 9781785880360 Packt 284 Pages ( Jan 2018 ) Book Overview: Get to grips with the essentials of deep learn by leveraging the ability of Python This book will help you take your first steps in training efficient deep determine models and applying them in respective hardheaded scenarios. You will model, train, and deploy different kinds of nervous networks such as Convolutional Neural Network, Recurrent Neural Network, and will see some of their applications in real-world domains including computer imagination, natural terminology work, speech recognition, and so on. You will build practical projects such as chatbots, implement support learning to build smart games, and develop expert systems for effigy caption and processing. popular Python library such as TensorFlow is used in this record to build the models. This record besides covers solutions for different problems you might come across while aim models, such as noisy datasets, humble datasets, and more This reserve does not assume any anterior cognition of deep learn. By the end of this reserve, you will have a firm sympathize of the basics of deep learn and neural network model, along with their practical applications publisher ‘s page Training Your Systems with Python Statistical Modeling ( Video ) Curtis Miller ISBN 13 : 9781788293402 Packt Course Length : 4 hours 5 minutes ( Jan 2018 ) Video Overview: Learn statistical analysis by using assorted machine eruditeness models You ’ ll begin by diving into classical statistical psychoanalysis, where you will learn to compute descriptive statistics with Pandas. From there, you will be introduced to supervised memorize, where you will explore the principles of machine teach and train different machine determine models. following, you ’ ll solve with binary prediction models, such as data classification using K-nearest neighbors, decision trees, and random forests. After that, you ’ ll knead with algorithms for arrested development psychoanalysis, and employ unlike types of arrested development, such as ridge and lasso regression, and spline interjection using SciPy. then, you ’ ll work on nervous networks, train them, and hire regression on neural networks. You ’ ll be introduced to bunch, and learn to evaluate cluster model results, angstrom well as hire different clustering types such as hierarchical and spectral cluster. last, you ’ ll learn about the dimensionality decrease concepts such as principal component analysis and depleted dimension representation. publisher ‘s page Effective prediction with Machine Learning – irregular Edition ( Video ) julian Avila ISBN 13 : 9781789132793 Packt Course Length : 1 hour 32 minutes ( Jan 2018 ) Video Overview: A one-stop solution to quickly program debauched Machine Learning algorithm with NumPy and scikit-learn This class begins by taking you through videos on evaluating the statistical properties of data and generating synthetic data for machine learning modeling. As you progress through the sections, you will come across television that will teach you to implement techniques such as data pre-processing, linear arrested development, logistic arrested development, and K-NN. You will besides look at Pre-Model and Pre-Processing workflows, to help you choose the right models. finally, you ‘ll explore dimensionality reduction with diverse parameters. publisher ‘s page IPython Interactive Computing and Visualization Cookbook – second Edition Cyrille Rossant ISBN 13 : 9781785888632 Packt 548 Pages ( Jan 2018 ) Book Overview: Learn to use IPython and Jupyter Notebook for your data psychoanalysis and visual image work. IPython Interactive Computing and Visualization Cookbook, Second Edition contains many ready-to-use, focused recipes for high-performance scientific calculation and data analysis, from the latest IPython/Jupyter features to the most advanced tricks, to help you write better and faster code. You will apply these state-of-the-art methods to diverse real-world examples, illustrating topics in apply mathematics, scientific model, and machine learn. The first part of the koran covers programming techniques : code timbre and reproducibility, code optimization, high-performance computing through just-in-time compilation, parallel calculation, and graphics card programming. The second depart tackles data skill, statistics, machine learning, signal and prototype process, dynamic systems, and arrant and practice mathematics. publisher ‘s page ensemble Machine Learning Ankit Dixit ISBN 13 : 9781788297752 Packt 438 Pages ( December 2017 ) Book Overview: An effective guide to using ensemble techniques to enhance machine learning models This koran covers different machine learning algorithms that are wide used in the practical world to make predictions and classifications. It addresses different aspects of a prediction model, such as data pre-processing, model train, validation of the model, and more. You will gain cognition of unlike machine learning aspects such as bulge ( decision trees and random forests ), Boosting ( Ada-boost ) and stacking ( a combination of pocket and boosting algorithm ). then you ’ ll learn how to implement them by building ensemble models using TensorFlow and Python libraries such as scikit-learn and NumPy. As machine learn touches about every field of the digital global, you ’ ll see how these algorithms can be used in different applications such as calculator vision, speech recognition, making recommendations, grouping and document classification, fitting regression on data, and more. publisher ‘s page Connect the Dots : factor Analysis ( Video ) Loonycorn ISBN 13 : 9781788997522 Packt Course Length : 1 hour 43 minutes ( December 2017 ) Video Overview: Factor extraction using PCA in Excel, R and Python divisor analysis helps to cut through the clutter when you have a lot of correlate variables to explain a single effect. This course will help you understand Factor analysis and it ’ s link to linear regression. See how principal Components Analysis is a cookie stonecutter proficiency to solve factor extraction and how it relates to Machine eruditeness. publisher ‘s page Connect the Dots : linear and logistic Regression ( Video ) Loonycorn ISBN 13 : 9781788991957 Packt Course Length : 4 hours 45 minutes ( December 2017 ) Video Overview: Build robust models in Excel, R and Python This course will teach you how to build robust linear models and do logistic regression in Excel, R and Python. Let ’ s parse that. robust linear models : linear Regression is a potent method for quantifying the causal agent and impression relationships that affect different phenomena in the universe around us. This course will teach you how to build full-bodied linear models that will stand up to scrutiny when you apply them to real world situations. logistic regression : logistic arrested development has many cool applications : analyzing consequences of past events, allocating resources, solving binary star classification problems using machine learn and so on. This course will help you understand the intuition behind logistic regression and how to solve it using cookie-cutter techniques. Excel, R and Python : Put what you ‘ve learnt into practice. Leverage these potent analytic tools to build models for banal returns. publisher ‘s page Advanced Statistics for Machine Learning ( Video ) Pratap Dangeti ISBN 13 : 9781788994989 Packt Course Length : 2 hours 10 minutes ( December 2017 ) Video Overview: Building assorted machine learn models using Python and R This television will teach you all it takes to perform the complex statistical computations required for Machine Learning. You will gain information on statistics behind unsupervised learn, strengthener eruditeness, and more. You ‘ll master real-world examples that discuss the statistical side of Machine Learning. In this video, you will acquire a deep cognition of the versatile models of unsupervised and reward teach, and explore the fundamentals of deep teach with the help of the Keras software. furthermore, you ‘ll gain an overview of reinforcement learning with the Python scheduling language. publisher ‘s page Natural Language Processing with Python ( Video ) tyler Edwards ISBN 13 : 9781787286085 Packt Course Length : 1 hour 47 minutes ( December 2017 ) Video Overview: Learn and master the NLTK library in Python to create your own NLP apps You will start off by preparing text for Natural Language Processing by cleaning and simplifying it. then you will implement more complex algorithm to break this text down and uncover contextual relationships that reveal the meaning and capacity of the text. You will learn how to tokenize respective parts of sentences, and how to analyze them. You will learn about semantic a well as the syntactic analysis of textbook. During this course, you will learn how to solve diverse ambiguities in processing human language. You will besides gain experience with NLP using Python and will be introduced to a assortment of utilitarian tools in NLTK. Plus, you will have an opportunity to build your first NLP application. By the end of this path, you will have the skills and tools to begin solving problems in the growing field of Latent Semantic Analysis. publisher ‘s page Python : Advanced Predictive Analytics Ashish Kumar, Joseph Babcock ISBN 13 : 9781788992367 Packt 660 Pages ( December 2017 ) Book Overview: Gain practical insights by exploiting data in your clientele to build promote predictive mold applications This ledger is your template to getting started with predictive analytics using Python. You ‘ll balance both statistical and mathematical concepts, and implement them in Python using libraries such as pandas, scikit-learn, and NumPy. Through encase studies and code examples using democratic open-source Python libraries, this book illustrates the complete growth process for analytic applications. Covering a wide range of algorithm for classification, regression, clustering, american samoa well as up-to-date techniques such as bass eruditeness, this reserve illustrates explains how these methods ferment. You will learn to choose the right approach for your problem and how to develop engaging visualizations to bring to life the insights of predictive modeling. publisher ‘s page virtual Time Series Analysis ( Video ) Dr. Avishek Pal, Dr. PKS Prakash ISBN 13 : 9781788995719 Packt Course Length : 2 hours 25 minutes ( December 2017 ) Video Overview: Step-by-step guidebook filled with real-world practical examples The video starts with a descriptive analysis to create insightful visualizations of internal structures such as drift, seasonality, and autocorrelation. adjacent, the statistical methods of dealing with autocorrelation and non-stationary prison term serial are described. This is followed by exponential polish to produce meaningful insights from noisy time series data. At this item, we shift the focus towards predictive psychoanalysis and introduce autoregressive models such as ARMA and ARIMA for time serial forecast. late, knock-down deep learning methods are presented to develop accurate prediction models for complex time series. All the topics are illustrated with real-life problem scenarios and their solutions by best-practice implementations in Python. publisher ‘s page SciPy Recipes L. Felipe Martins, Ruben Oliva Ramos, V Kishore Ayyadevara ISBN 13 : 9781788291460 Packt 386 Pages ( December 2017 ) Book Overview: Tackle the most sophisticated problems associated with scientific calculation and data handling using SciPy This book includes hands-on recipes for using the different components of the SciPy Stack such as NumPy, SciPy, matplotlib, and pandas, among others. You will use these libraries to solve real-world problems in linear algebra, numerical analysis, data visual image, and much more. The recipes included in the reserve will ensure you get a practical understand not only of how a particular feature in SciPy Stack works, but besides of its lotion to real-world problems. The freelancer nature of the recipes besides ensure that you can pick up any one and learn about a detail feature of SciPy without reading through the other recipes, thus making the book a very handy and useful template. publisher ‘s page Advanced Techniques for Exploring Data Sets with Pandas ( Video ) Harish Garg ISBN 13 : 9781788397599 Packt Course Length : 1 hours 45 minutes ( July 2017 ) Video Overview: explore democratic datasets in R, while mastering advanced techniques used for them In this course, you will learn how to start using pandas from throughout : from getting your data into giant panda ; using pandas to manipulate, transform, analyze, and visualize data ; to ultimately taking your transformed data out of pandas into any number of formats. publisher ‘s page scikit-learn : machine Learning Simplified Raúl Garreta, Guillermo Moncecchi, Trent Hauck, Gavin Hackeling ISBN 13 : 9781788833479 Packt 530 Pages ( November 2017 ) Book Overview: follow through scikit-learn into every step of the data skill grapevine The run combines an initiation to some of the main concepts and methods in machine determine with practical, hands-on examples of real-world problems. The class starts by walking through different methods to prepare your data—be it a dataset with missing values or text column that require the categories to be turned into indicator variables. After the data is ready, you ‘ll learn different techniques aligned with different objectives—be it a dataset with known outcomes such as sales by state, or more complicate problems such as clustering similar customers. finally, you ‘ll learn how to polish your algorithm to ensure that it ‘s both accurate and bouncy to newfangled datasets. publisher ‘s foliate Natural Language Processing with Python Cookbook Krishna Bhavsar, Naresh Kumar, Pratap Dangeti ISBN 13 : 9781787289321 Packt 294 Pages ( November 2017 ) Book Overview: Learn the tricks and tips that will help you design Text Analytics solutions This book includes alone recipes that will teach you assorted aspects of performing Natural Language Processing with NLTK—the leading Python platform for the task. You will come across assorted recipes during the course, covering ( among other topics ) natural terminology understand, Natural Language Processing, and syntactic analysis. You will learn how to understand language, plan sentences, and make around respective ambiguities. You will learn how to efficiently use NLTK and enforce text classification, identify parts of address, tag words, and more. You will besides learn how to analyze conviction structures and overlord lexical analysis, syntactic and semantic analysis, hardheaded analysis, and the lotion of deep determine techniques. By the end of this ledger, you will have all the cognition you need to implement Natural Language Processing with Python. publisher ‘s page Advanced Predictive Techniques with Scikit-Learn and TensorFlow ( Video ) Alvaro Fuentes ISBN 13 : 9781788295321 Packt Course Length : 3 hours 44 minutes ( November 2017 ) Video Overview: Improve the performance predictive models, build more complex models and use techniques to improve quality of your predictive models. ensemble methods offer a herculean direction to improve prediction accuracy by combining in a clever way predictions from many individual predictors. In this course, you will learn how to use ensemble methods to improve accuracy in classification and regression problems. When using Predictive Analytics to solve actual problems, besides models and algorithms there are many other practical considerations that must be considered like which features should you use, how many features are enough, should you create new features, how to combine features to give the lapp underlie data, which hyper-parameters should you use ? You explore topics that will help you answer such questions. artificial Neural Networks are models loosely based on how nervous networks work in a living being. These models have a long history in the artificial Intelligence community with ups and downs in popularity. Nowadays, because of the increase in computational exponent, improved methods, and software enhancements, they are popular again and are the basis for advanced approaches such as Deep Learning. This course introduces the use of Deep Learning models for predictive Analytics using the herculean TensorFlow library. publisher ‘s page Cryptography with Python ( Video ) Sam Bowne ISBN 13 : 9781788397179 Packt Course Length : 1 hours 30 minutes ( November 2017 ) Video Overview: Encrypt, measure, compare, and attack your data Cryptography is necessity to protect sensitive information, but it is often performed inadequately or incorrectly. Learn how to encrypt data, measure and compare encoding methods, and how to attack them. This video recording course starts by showing you how to encrypt and evaluate your data. You are besides walked through diverse data encoding methods—such as mystification, hash, and strong encryption—and how you can attack them. You will then learn how to make hashes and crack them, and understand why they are so different. You will besides learn how to use three NIST-recommended systems : AES, SHA, and RSA. Towards the end of the course, you will master common errors in encoding and how to exploit them. The goal of this course is to show viewers how to encrypt data, evaluate and compare encoding methods, and attack them. publisher ‘s page Scaling Python Julien Danjou ISBN : 978-1-387-37932-3 – 300 pages – ( December 2017 ) Book Overview: Python is a fantastic program linguistic process that allows to write applications cursorily. But how do you make those applications scale for thousands of users and requests ? It takes years of practice, inquiry, trial and errors to build experience and cognition along the way. simpleton questions such as “ How do I make my code faster ? ” or “ How do I make sure there is no constriction ? ” price hours to find dear answers. Without enough backdrop on the topic, you ‘ll never be certain that any answer you ‘ll come up with will be correct. The Hacker ‘s Guide to Scaling Python will help you solve that by providing guidelines, tips and best exercise. Adding a few interview of experts on the subject, you will learn how you can distribute your Python application so it is able to process thousands of requests. publisher ‘s foliate Matplotlib for Python Developers ( Video ) Benjamin Keller ISBN 13 : 9781787281998 Packt Publishing Course Length : 2 hours 56 minutes ( October 2017 ) Video Overview: Understand the basic fundamentals of plotting and data visual image using Matplotlib In this path, you hit the ground running and quickly learn how to make beautiful, clear figures with Matplotlib and a handful of early Python tools. You understand data dimensionality and set up an environment by beginning with basic plots. You enter into the excite world of data visual image and plot. You ‘ll work with line and disperse plots and construct stripe plots and histograms. You ‘ll besides explore images, contours, and histograms in depth. Plot scaffold is a very matter to subject wherein you ‘ll be taken through axes and figures to help you design excellent plots. You ‘ll learn how to control axes and ticks, and transfer fonts and colors. You ‘ll work on backends and transformations. then last you ‘ll explore the most significant companions for Matplotlib, Pandas and Jupyter, used wide for data handling, analysis, and visual image. By the end of this course you ‘ll be able to construct effective and beautiful data plots using the Matplotlib library for the Python scheduling language. publisher ‘s page Python GUI Programming Recipes using PyQt5 ( Video ) Burkhard Meier ISBN 13 : 9781788471268 Packt Publishing Course Length : 4 hours 09 minutes ( October 2017 ) Video Overview: Learn to design a UI with serve of PyQT5 In this television, you will successfully install PyQt5 and the toolset that contains the QT Designer creature. The QT Designer enables you to develop our GUI in a ocular manner, using drag and drop to add and put widgets, and we will use it extensively. We will then learn how to convert QT Designer-generated code into pure Python code. After having successfully installed PyQt5, the QT Designer, and all other required QT tools, you will start out simple, building a Python GUI using only a few lines of PyQT5 code. then, you will build a more complex GUI using QT Designer. Along the means, you will explore many QT widgets and learn how to efficiently lay out our GUI invention. You will enhance the look-and-feel of the GUI using CSS style. You will besides connect our GUI to a SQL database, which we will create. You decouple the business logic code from the UI code, using best practices. At the end of this video recording tutorial, viewers will be able to develop building complex GUIs using PyQt5. publisher ‘s page Python Design Patterns ( Video ) Tong Qiu ISBN 13 : 9781786460677 Packt Publishing Course Length : 2 hours 26 minutes ( September 2017 ) Video Overview: Design patterns to improve the travel rapidly, code recycle, and performance of your Python applications. This course focuses on showing you the hardheaded aspects of chic coding in Python. Get into the populace of invention patterns and brush up on your OOP skills. Explore the most widely used patterns and produce objects in a manner best suited to the situation. Some patterns will help you identify simple ways to realize relationships between entities. future, learn how to encapsulate demeanor in an object and delegate requests to it, before delving into some advance patterns. With this course, you will be well equipped to craft faster, cleaner, and smart applications. publisher ‘s page Mastering Python Data Analysis with Pandas ( Video ) Prabhat Ranjan ISBN 13 : 9781787280083 Packt Publishing Course Length : 1 hour 17 minutes ( September 2017 ) Video Overview: Learn how to use Pandas, the Python library for data and statistical psychoanalysis. This naturally is your lead to implementing the more advance offerings of the popular Pandas library and explains how it can solve real-world problems. After a brief overview of the basics—such as data structures and respective data handling tasks such as grouping, unify, and reshaping data—this video besides teaches you how to manipulate, analyze, and visualize your time-series fiscal data. You will learn how to apply Pandas to significant but simple fiscal tasks such as modelling portfolios, calculating optimum portfolios based upon risk, and more. This video recording not only teaches you why Pandas is a capital joyride for solving real-world problems in quantitative finance, it besides takes you meticulously through every step of the way, with hardheaded, real-world examples, specially from the fiscal knowledge domain where Pandas is a popular choice. By the end of this video recording, you will be an technical in using the Pandas library for any data analysis problem, specially related to finance. publisher ‘s page Architectural Patterns and Best Practices with Python ( Video ) Anand Balachandran Pillai ISBN 13 : 9781788838276 Packt Publishing Course Length : 1 hour 37 minutes ( September 2017 ) Video Overview: Implement versatile Architectural patterns and learn to deploy and debug your Python applications. This video starts off by explaining how Python fits into application architecture. As you move along, you will understand the architecturally meaning demands and how to determine them. late, you ’ ll get a complete sympathize of the unlike architectural patterns such as consequence force programming, microservice computer architecture and pipe and filter architecture. Python, as an open-source speech, has matured in the level of automation and defend it provides for deploying packages to production systems. Get to understand deployment of Python applications, and the tools and processes that the architect can add to his repertoire in order to ease the deploy and maintenance of his output systems ‘ ply applications, written using Python. publisher ‘s page Python 3.x for Computer Vision ( Video ) Saurabh Kapur ISBN 13 : 9781788838207 Packt Publishing Course Length : 1 hour 29 minutes ( September 2017 ) Video Overview: Unleash the power of calculator vision with Python to carry out image process and computer imagination techniques. This video course is a virtual guide for developers who want to get started with build calculator sight applications using Python 3. Throughout this television course, three trope processing libraries : Pillow, Scikit-Image, and OpenCV are used to implement different computer imagination algorithm. The course will help you build Computer Vision applications that are adequate to of working in real-world scenarios efficaciously. Some of the applications that we look at in the course are ocular Character Recognition, Object Tracking and building a Computer Vision as a Service platform that works over the internet. publisher ‘s page Data Acquisition and Manipulation with Python ( Video ) Curtis Miller ISBN 13 : 9781788291415 Packt Publishing Course Length : 2 hours 39 minutes ( September 2017 ) Video Overview: Acquire and analyze data in unlike formats with the help of Python data psychoanalysis tools. In this naturally, you ’ ll begin by learning how to acquire data from the world wide web in its already “ clean ” format, such as in a .csv file, or a database. You ’ ll then learn to transform this data so it ’ mho in its most utilitarian format for analysis. After that, you ’ ll dive into data collection and grouping, where you ’ ll learn to group alike data for easier analysis purposes. From there, you ’ ll be shown different methods of world wide web scraping using Python. ultimately, you ’ ll learn to extract large amounts of data using BeautifulSoup, ampere well as ferment with Selenium and Scrapy. publisher ‘s page Python For Android Hacking Crash Course : Trojan Perspective ( Video ) Hussam Khrais ISBN 13 : 9781788626255 Packt Publishing Course Length : 3 hours 16 minutes ( September 2017 ) Video Overview: Acquire and analyze data in different formats with the help of Python data analysis tools. This friendly naturally takes you through Python For Android Hacking Crash Course. It is packed with bit-by-bit instructions and working examples. This comprehensive course is divided into clear bite-size chunks so you can learn at your own pace and focus on the areas of most concern to you. publisher ‘s page Python For Offensive PenTest : A accomplished Practical Course ( Video ) Hussam Khrais ISBN 13 : 9781788628068 Packt Publishing Course Length : 5 hours 57 minutes ( September 2017 ) Video Overview: Python for Hacking, Learn how to use python for ethical hack and penetration examination. first, download the script, read the inline comments, run the script in your home lab, then ultimately see the explanatory video. Learn how to code your own invert shell [ TCP+HTTP ]. Make anonymous shell by interacting with [ Twitter, Google Form, Sourceforge ]. Replicate Metasploit features and make an advanced shell and much more. publisher ‘s page Python Machine Learning – second Edition Sebastian Raschka, Vahid Mirjalili ISBN 13 : 9781787125933 Packt Publishing 622 pages ( September 2017 ) Book Overview: Unlock modern machine memorize and deep teach techniques with Python by using the latest up-to-date open source Python libraries Understand and knead at the cutting boundary of machine learn, nervous networks, and deep eruditeness with this second edition of Sebastian Raschka ’ s bestselling book, Python Machine Learning. thoroughly update using the latest Python open source libraries, this book offers the hardheaded cognition and techniques you need to create and contribute to machine learn, cryptic eruditeness, and modern data psychoanalysis. in full extended and modernized, Python Machine Learning Second Edition immediately includes the popular TensorFlow deep teach library. The scikit-learn code has besides been amply updated to include holocene improvements and additions to this versatile machine learning library. publisher ‘s page Practical Python Data Science Techniques ( Video ) Marco Bonzanini ISBN 13 : 9781788294294 Packt Publishing Course Length : 2 hours 32 minutes ( August 2017 ) Video Overview: Learn practical solutions to Data Science problems with Python A comprehensive path packed with bit-by-bit instructions, working examples, and helpful advice on Data Science Techniques in Python. This comprehensive examination run is divided into clear bite size chunks so you can learn at your own pace and focus on the areas that interest you the most. publisher ‘s page Making Predictions with Data and Python ( Video ) Alvaro Fuentes ISBN 13 : 9781788297448 Packt Publishing Course Length : 4 hours 10 minutes ( August 2017 ) Video Overview: Build Awesome Predictive Models with Python This class introduces the main concepts, techniques, and best practices for doing predictive Analytics with Python. Using an example-based approach, it covers all the stages in the process of building predictive models with Python. By the end of the class you will be able to build predictive Analytics models using real-world data. publisher ‘s page Python Network Programming Cookbook – second Edition Pradeeban Kathiravelu, Dr. M. O. Faruque Sarker ISBN 13 : 9781786463999 Packt Publishing 450 pages ( August 2017 ) Book Overview: Discover hardheaded solutions for a wide range of real-world network programming tasks Python Network Programming Cookbook – second Edition highlights the major aspects of network scheduling in Python, starting from writing dim-witted network clients to developing and deploying complex Software-Defined Networking ( SDN ) and Network Functions Virtualization ( NFV ) systems. In this version, you will besides be introduced to network modelling to build your own cloud network. You will learn about the concepts and fundamentals of SDN and then extend your net with Mininet. Next, you ’ ll find recipes on Authentication, Authorization, and Accounting ( AAA ) and open and proprietary SDN approaches and frameworks. publisher ‘s page Functional Programming in Python ( Video ) Sebastiaan Mathôt ISBN 13 : 9781788292450 Packt Publishing Course Length : 2 hours and 34 minutes ( July 2017 ) Video Overview: In this video recording course, you will learn what running programming is, and how it differs from other programming styles, such as procedural and object-oriented programming. You will besides learn why and when functional programming is useful, and why and when it makes programs unnecessarily complex. Explore lambda expressions, which are light one-line functions, and are the purest form of functional scheduling that Python offers. Next, learn about higher-order functions : functions that accept other functions as controversy, or return early functions as retort values. In Python, higher-order functions are elegantly supported through decorators. You will besides encounter important concepts from functional programming, such as monads, currying, statelessness, side-effects, memoization, and referential transparency ; these concepts may initially seem curious to Python programmers, but you will see how they are elegantly supported by the terminology. In fact, many Python programmers already make use of concepts from functional programming without being aware of doing so. All the television in this course contain hands-on examples of the precede concepts. What you will learn:

• Recognize the value of Functional Programming
• Understand the advantages and disadvantages of Functional Programming
• Higher-order functions and Lambda expressions (nameless functions)
• Error handling in Functional Programming
• Understand common functional design patterns, and how these apply to Python

publisher ‘s page Mastering Machine Learning with scikit-learn – second Edition Gavin Hackeling ISBN 13 : 9781788299879 Packt Publishing 254 pages ( July 2017 ) Book Overview: This record examines a variety show of machine memorize models including popular machine learning algorithms such as k-nearest neighbors, logistic regression, naive Bayes, k-means, decision trees, and artificial nervous networks. It discusses data preprocessing, hyperparameter optimization, and ensemble methods. You will build systems that classify documents, recognize images, detect ads, and more. You will learn to use scikit-learn ’ randomness API to extract features from categoric variables, text and images ; evaluate model operation, and develop an intuition for how to improve your model ’ south performance. By the end of this book, you will master all ask concepts of scikit-learn to build efficient models at solve to carry out advance tasks with the practical approach. What you will learn:

• Review fundamental concepts such as bias and variance
• Extract features from categorical variables, text, and images
• Predict the values of continuous variables using linear regression and K Nearest Neighbors
• Classify documents and images using logistic regression and support vector machines
• Create ensembles of estimators using bagging and boosting techniques
• Discover hidden structures in data using K-Means clustering
• Evaluate the performance of machine learning systems in common tasks

publisher ‘s page Python Natural Language Processing Jalaj Thanaki ISBN 13 : 9781787121423 Packt Publishing 486 pages ( July 2017 ) Book Overview: This book starts off by laying the foundation for Natural Language Processing and why Python is one of the best options to build an NLP-based adept system with advantages such as Community support, handiness of frameworks and so on. Later it gives you a better understand of available free forms of corpus and different types of dataset. After this, you will know how to choose a dataset for natural linguistic process work applications and find the right NLP techniques to process sentences in datasets and understand their structure. You will besides learn how to tokenize different parts of sentences and ways to analyze them. What you will learn:

• Focus on Python programming paradigms, which are used to develop NLP applications
• Understand corpus analysis and different types of data attribute
• Learn NLP using Python libraries such as NLTK, Polyglot, SpaCy, Standford CoreNLP and so on
• Learn about Features Extraction and Feature selection as part of Features Engineering
• Explore the advantages of vectorization in Deep Learning
• Get a better understanding of the architecture of a rule-based system
• Optimize and fine-tune Supervised and Unsupervised Machine Learning algorithms for NLP problems
• Identify Deep Learning techniques for Natural Language Processing and Natural Language Generation problems

publisher ‘s page Cloud Native Python Manish Sethi ISBN 13 : 9781787129313 Packt Publishing 374 pages ( July 2017 ) Book Overview: This book will be the one period for you to learn all about building cloud-native architectures in Python. It will begin by introducing you to cloud-native computer architecture and will help break it down for you. then you ’ ll learn how to build microservices in Python using REST APIs in an event driven approach path and you will build the web layer. adjacent, you ’ ll memorize about Interacting data services and build Web views with React, after which we will take a detail spirit at application security and performance. then, you ’ ll besides learn how to Dockerize your services. And finally, you ’ ll learn how to deploy the application on the AWS and Azure platforms. This book will teach you how to craft applications that are built as little standard units, using all the prove best practices and avoiding the usual trap. It ‘s a hardheaded book : we ‘re going to build everything using Python 3 and its amaze tool ecosystem. The book will take you on a travel, the address of which, is the universe of a complete Python application based on microservices over the defile platform. What you will learn:

• Get to know “the way of the cloud”, including why developing good cloud software is fundamentally about mindset and discipline
• Know what microservices are and how to design them
• Create reactive applications in the cloud with third-party messaging providers
• Build massive-scale, user-friendly GUIs with React and Flux
• Secure cloud-based web applications: the do’s, don’ts, and options
• Plan cloud apps that support continuous delivery and deployment

publisher ‘s page Python Social Media Analytics Siddhartha Chatterjee, Michal Krystyanczuk ISBN 13 : 9781787121485 Packt Publishing 312 pages ( July 2017 ) Book Overview: right from acquiring data from versatile social network sources such as Twitter, Facebook, YouTube, Pinterest, and social forums, you will see how to clean data and make it cook for analytic operations using diverse Python APIs. This reserve explains how to structure the clean data obtained and store in MongoDB using PyMongo. You will besides perform web scraping and visualize data using Scrappy and Beautifulsoup. finally, you will be introduced to different techniques to perform analytics at scale for your social data on the cloud, using Python and Spark. By the end of this ledger, you will be able to utilize the power of Python to gain valuable insights from social media data and use them to enhance your business processes. What you will learn:

• Understand the basics of social media mining
• Use PyMongo to clean, store, and access data in MongoDB
• Understand user reactions and emotion detection on Facebook
• Perform Twitter sentiment analysis and entity recognition using Python
• Analyze television and campaign performance on YouTube
• Mine popular trends on GitHub and predict the following big technology
• Extract conversational topics on public internet forums
• Analyze user interests on Pinterest
• Perform large-scale social media analytics on the cloud

publisher ‘s page Python Microservices Development Tarek Ziadé ISBN 13 : 9781785881114 Packt Publishing 340 pages ( July 2017 ) Book Overview: An effective manner to build applications to do this is through microservices computer architecture. But, in practice, it ‘s difficult to get this right due to the complexity of all the pieces interacting with each early. This book will teach you how to overcome these issues and craft applications that are built as small standard units, using all the prove best practices and avoiding the common trap. It ‘s a practical book : you ’ ll build everything using Python 3 and its amaze joyride ecosystem. You will understand the principles of TDD and apply them. This script will take you on a journey, ending with the creation of a accomplished Python lotion based on microservices. By the end of the reserve, you will be well versed with the fundamentals of build, design, testing, and deploying your Python microservices. What you will learn:

• Explore what microservices are and how to design them
• Use Python 3, Flask, Tox, and other tools to build your services using best practices
• Learn how to use a TDD approach
• Discover how to document your microservices
• Configure and package your code in the best way
• Interact with other services
• Secure, monitor, and scale your services
• Deploy your services in Docker containers, CoreOS, and Amazon Web Services

publisher ‘s page Mastering Python Networking Eric Chou ISBN 13 : 9781784397005 Packt Publishing 446 pages ( June 2017 ) Book Overview: This book begins with a inspection of the TCP/ IP protocol suite and a refresher of the core elements of the Python speech. next, you will start using Python and supported libraries to automate network tasks from the current major network vendors. You will look at automating traditional network devices based on the command-line interface, ampere well as newer devices with API documentation, with hands-on labs. You will then learn the concepts and practical habit cases of the Ansible framework in order to achieve your network goals. You will then move on to using Python for DevOps, starting with using open source tools to test, guarantee, and analyze your network. then, you will focus on network monitor and visual image. You will learn how to retrieve network information using a poll mechanism, flow-based monitoring, and visualizing the datum programmatically. future, you will learn how to use the Python model to build your own customize network web services. In the last faculty, you will use Python for SDN, where you will use a Python-based control with OpenFlow in a hands-on lab to learn its concepts and applications. Compare and contrast OpenFlow, OpenStack, OpenDaylight, and NFV. ultimately, you will use everything you ’ ve learned in the koran to construct a migration plan to go from a bequest to a scalable SDN-based network. What you will learn:

• Review all the fundamentals of Python and the TCP/IP suite
• Use Python to execute commands when the device does not support the API or programmatic interaction with the device
• Implement automation techniques by integrating Python with Cisco, Juniper, and Arista eAPI
• Integrate Ansible using Python to control Cisco, Juniper, and Arista networks
• Achieve network security with Python
• Build Flask-based web-service APIs with Python
• Construct a Python-based migration plan from a legacy to scalable SDN-based network

publisher ‘s page Practical Data Science Cookbook – second Edition Prabhanjan Tattar, Tony Ojeda, Sean Patrick Murphy, Benjamin Bengfort, Abhijit Dasgupta ISBN 13 : 9781787129627 Packt Publishing 434 pages ( June 2017 ) Book Overview: Starting with the basics, this book covers how to set up your numeric scheduling environment, introduces you to the data skill grapevine, and guides you through several data projects in a bit-by-bit format. By consecutive working through the steps in each chapter, you will promptly familiarize yourself with the march and learn how to apply it to a variety of situations with examples using the two most popular programming languages for data analysis—R and Python. What you will learn:

• Learn and understand the installation procedure and environment required for R and Python on various platforms
• Prepare data for analysis by implement various data science concepts such as acquisition, cleaning and munging through R and Python
• Build a predictive model and an exploratory model
• Analyze the results of your model and create reports on the acquired data
• Build various tree-based methods and Build random forest

publisher ‘s page Unpacking NumPy and Pandas ( Video ) Curtis Miller ISBN 13 : 9781787121195 Packt Publishing Course Length : 2 hours and 18 minutes ( June 2017 ) Video Overview: In this video recording course, you will explore two of the most significant Python packages used by Data Analysts. You will start off by learning how to set up the right environment for data analysis with Python. hera, you ’ ll learn to install the right Python distribution, a well as knead with the Jupyter notebook, and set up a database. After that you will dive into Python ’ south NumPy package, Python ’ s herculean extension with advance numerical functions. You will learn to create NumPy arrays, angstrom good as hire different array methods and functions. then, you will explore Python ’ s Pandas extension, where you will learn to subset your data, angstrom well as dive into data mapping using Pandas. You ’ ll besides learn to manage your data sets by sorting and ranking them. finally, you will learn to index and group your data for sophisticate data psychoanalysis and manipulation. What you will learn:

• How to read, sort, and map respective data into NumPy and Pandas
• How to create and slice data arrays using NumPy
• How to subset your data frames using Pandas
• How to handle missing data in a Pandas DataFrame
• How to interface your Python data analysis with R language packages

publisher ‘s page Python for Finance – moment Edition Yuxing Yan ISBN 13 : 9781787125698 Packt Publishing 586 pages ( June 2017 ) Book Overview: This bible is organized according to assorted finance subjects. In early words, the foremost edition focuses more on Python, while the second edition is in truth trying to apply Python to finance. The bible starts by explaining topics entirely related to Python. then deal with critical parts of Python, explaining concepts such as meter value of money stock and chemical bond evaluations, das kapital asset price model, multi-factor models, time series analysis, portfolio theory, options and futures. What you will learn:

• Become acquainted with Python in the first two chapters
• Run CAPM, Fama-French 3-factor, and Fama-French-Carhart 4-factor models
• Learn how to price a call, put, and several exotic options
• Understand Monte Carlo simulation, how to write a Python program to replicate the Black-Scholes-Merton options model, and how to price a few exotic options
• Understand the concept of volatility and how to test the hypothesis that volatility changes over the years
• Understand the ARCH and GARCH processes and how to write related Python programs

publisher ‘s page Python Web Scraping – second Edition Katharine Jarmul, Richard Lawson ISBN 13 : 9781786462589 Packt Publishing 220 pages ( May 2017 ) Book Overview: This koran is the ultimate usher to using the latest features of Python 3.x to scrape data from websites. In the early chapters, you ’ ll see how to extract data from static vane pages. You ’ ll determine to use caching with databases and fil Natural Language Processing Fundamentals Sohom Ghosh, Dwight Gunning ISBN 13 : 9781789954043 Packt 374 Pages ( March 2019 ) Book Overview: Use Python and NLTK ( Natural Language Toolkit ) to build out your own textbook classifiers and solve common NLP problems. If NLP has n’t been your forte, Natural Language Processing Fundamentals will make sure you set off to a regular depart. This comprehensive lead will show you how to efficaciously use Python libraries and NLP concepts to solve assorted problems. You ‘ll be introduced to natural linguistic process march and its applications through examples and exercises. This will be followed by an introduction to the initial stages of solving a problem, which includes trouble definition, getting text data, and preparing it for modeling. With exposure to concepts like advance natural language process algorithm and visual image techniques, you ‘ll learn how to create applications that can extract information from amorphous data and present it as impactful visuals.The book will easily equip you with the cognition you need to build applications that interpret human linguistic process. publisher ‘s page deep Learning with PyTorch Quick Start Guide David Julian ISBN 13 : 9781789534092 Packt 118 pages ( December 2018 ) Book Overview: PyTorch is highly powerful and yet easy to learn. It provides progress features, such as supporting multiprocessor, distributed, and latitude calculation. This book is an excellent entry point for those wanting to explore deep memorize with PyTorch to harness its power. This book will introduce you to the PyTorch deep learn library and teach you how to train deep memorize models without any fuss. We will set up the deep teach environment using PyTorch, and then aim and deploy different types of deep memorize models, such as CNN, RNN, and autoencoders. You will learn how to optimize models by tuning hyperparameters and how to use PyTorch in multiprocessor and distribute environments. We will discuss retentive short-run memory net ( LSTMs ) and build a lyric model to predict text. By the end of this book, you will be familiar with PyTorch ‘s capabilities and be able to utilize the library to train your neural networks with relative still. Amazon Page machine Learning Fundamentals Hyatt Saleh ISBN 13 : 9781789803556 Packt 240 Pages ( November 2018 ) Book Overview: With the flexibility and features of scikit-learn and Python, build machine learning algorithms that optimize the program process and take application operation to a whole new degree As machine learning algorithm become democratic, new tools that optimize these algorithms are besides developed. Machine Learning Fundamentals explains you how to use the syntax of scikit-learn. You ‘ll study the difference between supervised and unsupervised models, vitamin a good as the importance of choosing the appropriate algorithm for each dataset. You ‘ll apply unsupervised clustering algorithm over real-world datasets, to discover patterns and profiles, and explore the serve to solve an unsupervised machine learning problem. The focus of the record then shifts to supervised learning algorithm. You ‘ll learn to implement different supervised algorithm and develop neural network structures using the scikit-learn package. You ‘ll besides learn how to perform coherent consequence psychoanalysis to improve the operation of the algorithm by tuning hyperparameters. publisher ‘s page Python Fundamentals Ryan Marvin, Mark Ng ’ ang ’ a, Amos Omondi ISBN 13 : 9781789807325 Packt 324 Pages ( October 2018 ) Book Overview: With an concern mix of hypothesis and practicals, explore Python and its features, and advancement from novice to being skilled in this popular script language As you settle into the Python ecosystem, you ‘ll learn about data structures and study ways to correctly store and represent information. By working through particular examples, you ‘ll learn how python implements object-oriented program ( OOP ) concepts of abstraction, encapsulation of data, inheritance, and polymorphism. You ‘ll be given an overview of how imports, modules, and packages work in Python, how you can handle errors to prevent apps from crashing, deoxyadenosine monophosphate well as file handling. By the end of this record, you ‘ll have built up an impressive portfolio of projects and armed yourself with the skills you need to tackle Python projects in the actual worldly concern. publisher ‘s page Python Data Science Essentials – third Edition Alberto Boschetti, Luca Massaron ISBN 13 : 9781789537864 Packt 472 pages ( September 2018 ) Book Overview: Gain utilitarian insights from your data using democratic data skill tools fully expanded and upgraded, the latest edition of Python Data Science Essentials will help you succeed in data science operations using the most common Python libraries. This record offers up-to-date insight into the core of Python, including the latest versions of the Jupyter Notebook, NumPy, lesser panda, and scikit-learn. The script covers detail examples and large loanblend datasets to help you grasp essential statistical techniques for data solicitation, data munging and analysis, visual image, and reporting activities. You will besides gain an agreement of boost data skill topics such as machine learning algorithms, distributed computer science, tuning predictive models, and natural lyric process. furthermore, You ’ ll besides be introduced to deep teach and gradient boosting solutions such as XGBoost, LightGBM, and CatBoost. By the end of the book, you will have gained a complete overview of the principal machine learning algorithms, graph analysis techniques, and all the visual image and deployment instruments that make it easier to present your results to an consultation of both data skill experts and occupation users. publisher ‘s foliate Python Artificial Intelligence Projects for Beginners Joshua Eckroth ISBN 13 : 9781789539462 Packt 162 Pages Book Overview: This book begins with helping you to build your first prediction model using the popular Python library, scikit-learn. You will understand how to build a classifier using an effective machine learn technique, random forest, and decision trees. With excite projects on predicting bird species, analyzing scholar performance data, song genre identification, and spam detection, you will learn the fundamentals and respective algorithms and techniques that foster the development of these fresh applications. In the concluding chapters, you will besides understand deep determine and nervous network mechanisms through these projects with the help of the Keras library. By the end of this book, you will be convinced in building your own AI projects with Python and be ready to take on more advanced projects as you progress. publisher ‘s page Samuel Bowne ISBN 13 : 9781789534443 Packt 100 Pages Book Overview: Learn to evaluate and compare data encoding methods and attack cryptanalytic systems Cryptography is necessity for protecting sensitive information, but it is much performed inadequately or incorrectly. hands-on Cryptography with Python starts by showing you how to encrypt and evaluate your data. The book will then walk you through diverse data encoding methods, such as mystification, hash, and hard encoding, and will show how you can attack cryptanalytic systems. You will learn how to create hashes, crack them, and will understand why they are so different from each other. In the conclude chapters, you will use three NIST-recommended systems : the Advanced Encryption Standard ( AES ), the Secure Hash Algorithm ( SHA ), and the Rivest-Shamir-Adleman ( RSA ). By the end of this book, you will be able to deal with common errors in encoding. publisher ‘s page Hands-On Data Analysis with NumPy and Pandas Curtis Miller ISBN 13 : 9781789530797 Packt 168 Pages ( June 2018 ) Book Overview: Get to grips with the most democratic Python packages that make Data Analysis potential Hands-On Data Analysis with NumPy and Pandas starts by guiding you in setting up the right environment for data analysis with Python, along with helping you install the correct Python distribution. In addition to this, you will work with the Jupyter notebook and set up a database. once you have covered Jupyter, you will dig deep into Python ’ second NumPy box, a knock-down reference with advanced mathematical functions. You will then move on to creating NumPy arrays and employing different range methods and functions. You will explore Python ’ s pandas elongation which will help you get to grips with data mining and memorize to subset your data. end but not the least you will grasp how to manage your datasets by sorting and ranking them. By the end of this ledger, you will have learned to exponent and group your data for sophisticate datum analysis and manipulation. publisher ‘s page deep Reinforcement Learning Hands-On Maxim Lapan ISBN 13 : 9781788834247 Packt 546 Pages ( June 2018 ) Book Overview: This practical template will teach you how deep teach ( DL ) can be used to solve complex real-world problems. late developments in reward memorize ( RL ), combined with deep learn ( DL ), have seen unprecedented progress made towards training agents to solve complex problems in a human-like direction. Google ’ sulfur function of algorithm to play and defeat the well-known Atari arcade games has propelled the field to prominence, and researchers are generating modern ideas at a rapid pace. abstruse Reinforcement Learning Hands-On is a comprehensive examination guide to the very latest deciliter tools and their limitations. You will evaluate methods including Cross-entropy and policy gradients, before applying them to real-world environments. Take on both the Atari set of virtual games and family favorites such as Connect4. The ledger provides an initiation to the basics of RL, giving you the know-how to code intelligent learning agents to take on a formidable array of practical tasks. Discover how to implement Q-learning on ‘ grid world ’ environments, teach your agent to buy and trade stocks, and find out how natural language models are driving the smash in chatbots. publisher ‘s page Deep Learning with TensorFlow Giancarlo Zaccone, Md. Rezaul Karim, Ahmed Menshawy ISBN 13 : 9781786469786 Packt 320 Pages ( April 2018 ) Book Overview: Delve into neural networks, implement trench determine algorithm, and explore layers of data abstraction with the serve of this comprehensive TensorFlow guide. Throughout the book, you ’ ll learn how to implement deep learn algorithm for machine learning systems and integrate them into your product offerings, including search, image recognition, and language serve. additionally, you ’ ll learn how to analyze and improve the operation of deep teach models. This can be done by comparing algorithm against benchmarks, along with car news, to learn from the information and determine ideal behaviors within a specific context. After finishing the book, you will be familiar with machine learning techniques, in particular the use of TensorFlow for deep learn, and will be fix to apply your cognition to research or commercial projects. publisher ‘s foliate Hands-On Transfer Learning with Python Dipanjan Sarkar, Raghav Bali, Tamoghna Ghosh ISBN 13 : 9781788831307 Packt 438 Pages ( August 2018 ) Book Overview: Deep eruditeness simplified by taking supervised, unsupervised, and support eruditeness to the adjacent charge using the Python ecosystem The purpose of this book is double ; first, we focus on detail coverage of deep learn ( DL ) and transfer learn, comparing and contrasting the two with easy-to-follow concepts and examples. The second area of focus is real-world examples and research problems using TensorFlow, Keras, and the Python ecosystem with hands-on examples. The book starts with the cardinal necessity concepts of ML and DL, followed by delineation and coverage of important DL architectures such as convolutional neural networks ( CNNs ), deep nervous networks ( DNNs ), perennial nervous networks ( RNNs ), long short-run memory ( LSTM ), and ejection seat networks. Our focus then shifts to transfer learn concepts, such as model freeze, fine-tune, pre-trained models including VGG, origin, ResNet, and how these systems perform better than DL models with practical examples. In the conclude chapters, we will focus on a multitude of real-world case studies and problems associated with areas such as computer imagination, audio analysis and natural language serve ( NLP ). publisher ‘s page Mastering Python Design Patterns – second base Edition Kamon Ayeva, Sakis Kasampalis ISBN 13 : 9781788837484 Packt 248 Pages ( August 2018 ) Book Overview: Exploit versatile design patterns to master the art of solving problems using Python This book takes you through a variety of design patterns and explains them with real-world examples. You will get to grips with low-level details and concepts that show you how to write Python code, without focusing on coarse solutions as enabled in Java and C++. You ‘ll besides fnd sections on corrections, best practices, system architecture, and its design aspects. This ledger will help you learn the core concepts of blueprint patterns and the way they can be used to resolve software design problems. You ‘ll focus on most of the Gang of Four ( GoF ) design patterns, which are used to solve casual problems, and take your skills to the following level with reactive and functional patterns that help you build bouncy, scalable, and robust applications. By the end of the book, you ‘ll be able to effciently address normally faced problems and develop applications, and besides be comfortable working on scalable and maintainable projects of any size. publisher ‘s page Tkinter GUI Application Development Blueprints, Second Edition Bhaskar Chaudhary ISBN 13 : 9781788837460 Packt 422 Pages ( March 2018 ) Book Overview: Geometry Management, Event Handling, and more This book will help you master the artwork of GUI programming. It delivers the bigger mental picture of GUI program by building real-world, fat, and fun applications such as a textbook editor program, drum machine, game of chess, audio player, drawing lotion, piano coach, chat application, screen saver, larboard scanner, and much more. In every visualize, you will build on the skills acquired in the previous project and gain more expertness. You will learn to write multithreaded programs, net programs, database-driven programs, asyncio based scheduling and more. You will besides get to know the modern best practices involved in writing GUI apps. With its ample informant of sample code, you can build upon the cognition gained with this book and use it in your own projects in the discipline of your option. publisher ‘s page Tkinter GUI Application Development Cookbook Alejandro Rodas de Paz ISBN 13 : 9781788622301 Packt 242 Pages ( March 2018 ) Book Overview: Discover solutions to all your Tkinter and Python GUI development problems As one of the more versatile program languages, Python is well-known for its batteries-included philosophy, which includes a rich set of modules in its standard library ; Tkinter is the library included for building background applications. Due to this, Tkinter is a common option for rapid GUI growth, and more complex applications can benefit from the entire capabilities of this library. This script covers all of your Tkinter and Python GUI growth problems and solutions. Tkinter GUI Application Development Cookbook starts with an overview of Tkinter classes and at the same fourth dimension provides recipes for basic topics, such as layout patterns and consequence cover. next, we cover how to develop common GUI patterns, such as entering and saving data, navigating through menu and dialogs, and performing long-running actions in the background.You can then make your apps leverage network resources effectively and perform graphic operations on a canvas tent and related tasks such as detecting collisions between items. ultimately, this book covers using themed widgets, an extension of Tk widgets that have a more native look and spirit. ultimately, this book covers using the canvas tent and themed widgets. publisher ‘s page Python Interviews Mike Driscoll ISBN 13 : 9781788399081 Packt 366 Pages ( February 2018 ) Book Overview: Mike Driscoll takes you on a journey talking to a hall-of-fame list of rightfully noteworthy Python experts. You ‘ll be inspired every fourth dimension by their mania for the Python language, as they share with you their experiences, contributions, and careers in Python. hear from these key Python thinkers about the current condition of Python, and where it ‘s heading in the future. Listen to their close thoughts on significant Python topics, such as Python ‘s character in scientific calculate, and machine learn. Understand the direction of Python, and what needs to change for Python 4 Each of these twenty Python Interviews can inspire and refresh your kinship with Python and the people who make Python what it is today. Let these interviews spark your own creativity, and discover how you besides have the ability to make your notice on a booming technical school community. This book invites you to immerse in the Python landscape, and let these noteworthy programmers show you how you besides can connect and share with Python programmers around the world. Learn from their opinions, enjoy their stories, and use their technical school tips. publisher ‘s page OpenCV 3.x with Python By Example – second Edition Gabriel Garrido, Prateek Joshi ISBN 13 : 9781788396905 Packt 268 Pages ( January 2018 ) Book: Learn the techniques for aim recognition, 3D reconstruction, stereo imagination, and other calculator vision applications using examples on different functions of OpenCV. We start off by manipulating images using simple percolate and geometric transformations. We then discuss affinal and projective transformations and see how we can use them to apply cool advance manipulations to your photos like resizing them while keeping the content entire or smoothly take out undesired elements. We will then cover techniques of object track, body part recognition, and object recognition using advanced techniques of machine learning such as artificial neural network. 3D reconstruction and augment reality techniques are besides included. The book covers popular OpenCV libraries with the help of examples. This book is a virtual tutorial that covers versatile examples at different levels, teaching you about the different functions of OpenCV and their actual implementation. By the end of this book, you will have acquired the skills to use OpenCV and Python to develop real-world calculator vision applications. publisher ‘s page scikit-learn Cookbook – second Edition julian Avila, Trent Hauck ISBN 13 : 9781787286382 Packt 374 Pages ( November 2017 ) Book Overview: Learn to use scikit-learn operations and functions for Machine Learning and deep eruditeness applications. This bible includes walk throughs and solutions to the park adenine well as the not-so-common problems in machine learning, and how scikit-learn can be leveraged to perform assorted machine learning tasks efficaciously. publisher ‘s page Pandas Cookbook Theodore Petrou ISBN 13 : 9781784393878 Packt 538 Pages ( October 2017 ) Book Overview: Over 95 hands-on recipes to leverage the power of giant panda for effective scientific calculation and data analysis This record will provide you with alone, idiomatic, and playfulness recipes for both fundamental and gain data manipulation tasks with giant panda. Some recipes focus on achieving a deeper sympathy of basic principles, or comparing and contrasting two like operations. other recipes will dive deep into a particular dataset, uncovering new and unexpected insights along the way. publisher ‘s page Python Deep Learning Cookbook Indra lair Bakker ISBN 13 : 9781787125193 Packt 330 Pages ( October 2017 ) Book Overview: Solve different problems in modelling deep neural networks using Python, Tensorflow, and Keras with this hardheaded guide This ledger provides a top-down and bottom-up approach to demonstrate deep learning solutions to real-world problems in different areas. These applications include Computer Vision, Natural Language Processing, Time Series, and Robotics. The Python Deep Learning Cookbook presents technical solutions to the issues presented, along with a detail explanation of the solutions. furthermore, a discussion on corresponding pros and cons of implementing the proposed solution using one of the popular frameworks like TensorFlow, PyTorch, Keras and CNTK is provided. The book includes recipes that are related to the basic concepts of neural networks. All techniques s, arsenic well as classical networks topologies. The main purpose of this koran is to provide Python programmers a detailed list of recipes to apply thick teach to common and not-so-common scenarios. publisher ‘s page Python Digital Forensics Cookbook Preston Miller, Chapin Bryce ISBN 13 : 9781783987467 Packt Publishing 412 Pages ( September 2017 ) Book Overview: Over 60 recipes to help you learn digital forensics and leverage Python scripts to amplify your examinations. By leveraging the Python recipes explored throughout this record, you make the building complex childlike, cursorily extracting relevant information from large datasets. You will explore, develop, and deploy Python code and libraries to provide meaningful results that can be immediately applied to your investigations. Throughout the Python Digital Forensics Cookbook, recipes include topics such as working with forensic evidence containers, parsing mobile and background manoeuver system artifacts, extracting embedded metadata from documents and executables, and identifying indicators of compromise. You will besides learn to integrate scripts with Application Program Interfaces ( APIs ) such as VirusTotal and PassiveTotal, and tools such as Axiom, Cellebrite, and EnCase. By the end of the book, you will have a healthy agreement of Python and how you can use it to process artifacts in your investigations. publisher ‘s page hardheaded Time Series Analysis Dr. Avishek Pal, Dr. PKS Prakash ISBN 13 : 9781788290227 Packt Publishing 244 Pages ( September 2017 ) Book Overview: step by Step guide filled with real world virtual examples. The book starts with descriptive analysis to create insightful visualizations of internal structures such as tendency, seasonality and autocorrelation. future, the statistical methods of dealing with autocorrelation and non-stationary clock series are described. This is followed by exponential smooth to produce meaningful insights from noisy time series data. At this charge, you shift focus towards predictive psychoanalysis and introduce autoregressive models such as ARMA and ARIMA for clock series prediction. Later, potent bass teach methods are presented, to develop accurate prediction models for complex prison term series, and under the handiness of fiddling world cognition. All the topics are illustrated with real-life trouble scenarios and their solutions by best-practice implementations in Python. The book concludes with the Appendix, with a brief discussion of programming and solving data skill problems using Python. publisher ‘s page Computer Vision with Python 3 Saurabh Kapur ISBN 13 : 9781788299763 Packt Publishing 206 Pages ( August 2017 ) Book Overview: Unleash the ability of computer vision with Python to carry out image process and computer vision techniques This script is a exhaustive guide for developers who want to get started with build up computer vision applications using Python 3. The book is divided into five sections : The Fundamentals of Image Processing, Applied Computer Vision, Making Applications Smarter, Extending your Capabilities using OpenCV, and Getting Hands on. Throughout this book, three effigy processing libraries Pillow, Scikit-Image, and OpenCV will be used to implement different computer vision algorithm. publisher ‘s page Learning Concurrency in Python Elliot Forbes ISBN 13 : 9781787285378 Packt Publishing 313 Pages ( August 2017 ) Book Overview: practically and profoundly sympathize concurrence in Python to write effective programs This book introduces some of the most popular libraries and frameworks and goes in-depth into how you can leverage these libraries for your own high-concurrent, highly-performant Python programs. We ‘ll cover the fundamental concepts of concurrence needed to be able to write your own coincident and analogue software systems in Python. The record will guide you down the path to mastering Python concurrence, giving you all the necessary hardware and theoretical cognition. We ‘ll cover concepts such as debug and exception handling american samoa well as some of the most popular libraries and frameworks that allow you to create event-driven and reactive systems. publisher ‘s page Learning pandas – second Edition Michael Heydt ISBN 13 : 9781787123137 Packt Publishing 446 pages ( June 2017 ) Book Overview: With this book you will learn how to use pandas to perform data analysis in Python. You will start with an overview of data analysis and iteratively advancement from modeling data, to accessing data from distant sources, performing numeric and statistical analysis, through index and performing aggregate analysis, and finally to visualizing statistical data and applying pandas to finance. With the cognition you gain from this ledger, you will promptly learn pandas and how it can empower you in the exciting worldly concern of data handling, analysis and skill. What you will learn:

• Understand how data analysts and scientists think about of the processes of gathering and understanding data
• Learn how pandas can be used to support the end-to-end process of data analysis
• Use giant panda Series and DataFrame objects to represent single and multivariate data
• Slicing and dicing data with pandas, as well as combining, grouping, and aggregating data from multiple sources
• How to access data from external sources such as files, databases, and web services
• Represent and manipulate time-series data and the many of the intricacies involved with this type of data
• How to visualize statistical information
• How to use pandas to solve several common data representation and analysis problems within finance

publisher ‘s page Python GUI Programming Cookbook – second Edition Burkhard A. Meier ISBN 13 : 9781787129450 Packt Publishing 422 pages ( May 2017 ) Book Overview: This ledger will guide you through the very basics of creating a in full functional GUI in Python with only a few lines of code. Each and every recipe adds more widgets to the GUIs we are creating. While the cookbook recipes all stand on their own, there is a common composition running through all of them. What you will learn:

• Create the GUI Form and add widgets
• Arrange the widgets using layout managers
• Use object-oriented programming to create GUIs
• Create Matplotlib charts
• Use threads and talking to networks
• Talk to a MySQL database via the GUI
• Perform unit-testing and internationalizing the GUI
• Extend the GUI with third-party graphical libraries
• Get to know the best practices to create GUIs

Who this book is written for: This book is for intermediate Python programmers who wish to enhance their Python skills by writing knock-down GUIs in Python. As Python is such a great and easy to learn linguistic process, this book is besides ideal for any developer with experience of other languages and enthusiasm to expand their horizon. publisher ‘s page Python Data Structures and Algorithms Benjamin Baka ISBN 13 : 9781786467355 Packt Publishing 310 pages ( May 2017 ) Book Overview: In this book, you will be able to understand the power of yoke lists, double linked lists, and round linked lists. You will be able to create complex data structures such as graph, stacks and queues. We will explore the application of binary searches and binary star search trees. You will learn the common techniques and structures used in tasks such as preprocessing, model, and transforming data. What you will learn:

• Gain a solid understanding of Python data structures.
• Build sophisticated data applications.
• Understand the common programming patterns and algorithms used in Python data science.
• Write efficient robust code.

Who this book is written for: This book will appeal to all Python developers. A basic cognition of Python is expected. publisher ‘s page Python : end-to-end Data Analysis Phuong Vothihong, Martin Czygan, Ivan Idris, Magnus Vilhelm Persson & Luiz Felipe Martins ISBN 13 : 9781788394697 Packt Publishing 931 pages ( May 2017 ) Book Overview: This book will get you started with Python data analysis by introducing the basics of data analysis and supported Python libraries such as matplotlib, NumPy, and pandas. Create visualizations by choosing semblance maps, different shapes, sizes, and palettes then delve into statistical data analysis using distribution algorithm and correlations. What you will learn:

• Understand the importance of data analysis and master its processing steps
• Get comfortable using Python and its associated data psychoanalysis libraries such as Pandas, NumPy, and SciPy
• Clean and transform your data and apply advanced statistical analysis to create attractive visualizations
• Analyze images and time series data
• Mine text and analyze social networks
• Perform web scraping and work with different databases, Hadoop, and Spark
• Use statistical models to discover patterns in data
• Detect similarities and differences in data with clustering
• Work with Jupyter Notebook to produce publication-ready figures to be included in reports

Who this book is written for: This course is for developers, analysts, and data scientists who want to learn data analysis from boodle. This course will provide you with a solid foundation from which to analyze data with varying complexity. A working cognition of Python ( and a strong interest in playing with your data ) is recommended. publisher ‘s page Python Machine Learning By Example Yuxi ( Hayden ) Liu ISBN 13 : 9781783553112 Packt Publishing 254 pages ( May 2017 ) Book Overview: This koran starts with an presentation to car memorize and the Python linguistic process and shows you how to complete the setup. Moving ahead, you will learn all the important concepts such as, exploratory data psychoanalysis, data preprocessing, feature extraction, data visual image and cluster, categorization, arrested development and model operation evaluation. What you will learn:

• Exploit the power of Python to handle data extraction, manipulation, and exploration techniques
• Use Python to visualize data spread across multiple dimensions and extract useful features
• Dive deep into the world of analytics to predict situations correctly
• Implement machine learning classification and regression algorithms from scratch in Python
• Be amazed to see the algorithms in action
• Evaluate the performance of a machine learning model and optimize it
• Solve interesting real-world problems using machine learning and Python as the journey unfolds

Who this book is written for: This book is for anyone interest in entering the datum science stream with machine learn. basic familiarity with Python is assumed. publisher ‘s page Python Deep Learning Valentino Zocca, Gianmario Spacagna, Daniel Slater, Peter Roelants ISBN 13 : 9781786464453 Packt Publishing 406 pages ( April 2017 ) Book Overview: The book will give you all the virtual information available on the national, including the best practices, using real-world function cases. You will learn to recognize and extract data to increase predictive accuracy and optimize results. What you will learn:

• Get a practical deep dive into deep learning algorithms
• explore deep learning far with Theano, Caffe, Keras, and TensorFlow
• Learn about two of the most powerful techniques at the core of many practical deep learning implementations: Auto-Encoders and Restricted Boltzmann Machines
• Dive into Deep Belief Nets and Deep Neural Networks
• Discover more deep learning algorithms with Dropout and Convolutional Neural Networks
• Get to know device strategies so you can use deep learning algorithms and libraries in the real world

Who this book is written for: This book is for Data Science practitioners angstrom well as aspirants who have a basic foundational sympathize of Machine Learning concepts and some scheduling experience with Python. A mathematical background with a conceptual understanding of calculus and statistics is besides desired. publisher ‘s page Software Architecture with Python Anand Balachandran Pillai ISBN 13 : 9781786468529 Packt Publishing 556 pages ( April 2017 ) Book Overview: This book starts off by explaining how Python fits into an lotion architecture. As you move along, you will understand the architecturally significant demands and how to determine them. late, you ’ ll get a dispatch understand of the different architectural quality requirements that help an architect to build a product that satisfies business needs, such as maintainability/reusability, testability, scalability, performance, serviceability, and security. What you will learn:

• Build programs with the right architectural attributes
• Use Enterprise Architectural Patterns to solve scalable problems on the Web
• Understand design patterns from a Python perspective
• Optimize the performance testing tools in Python
• Deploy code in remote environments or on the Cloud using Python
• Secure architecture applications in Python

Who this book is written for: This script is for have Python developers who are aspiring to become the architects of enterprise-grade applications or software architects who would like to leverage Python to create effective blueprints of applications. publisher ‘s page Learning Data Mining with Python – second Edition Robert Layton ISBN 13 : 9781787126787 Packt Publishing 358 pages ( April 2017 ) Book Overview: This book teaches you to design and develop data mining applications using a variety of datasets, starting with basic categorization and affinity analysis. This record covers a boastfully number of libraries available in Python, including the Jupyter Notebook, lesser panda, scikit-learn, and NLTK. What you will learn:

• Apply data mining concepts to real-world problems
• Predict the outcome of sports matches based on past results
• Determine the author of a document based on their writing style
• Use APIs to download datasets from social media and other online services
• Find and extract good features from difficult datasets
• Create models that solve real-world problems
• Design and develop data mining applications using a variety of datasets
• Perform object detection in images using Deep Neural Networks
• Find meaningful insights from your data through intuitive visualizations
• Compute on big data, including real-time data from the internet

Who this book is written for: If you are a Python programmer who wants to get started with data mining, then this reserve is for you. If you are a datum analyst who wants to leverage the might of Python to perform data mining efficiently, this reserve will besides help you. No former experience with data mining is expected. publisher ‘s page Python Data Analysis – second Edition Armando Fandango ISBN 13 : 9781787127487 Packt Publishing 330 pages ( March 2017 ) Book Overview: With this script, you will learn how to process and manipulate data with Python for complex analysis and model. We learn datum manipulations such as aggregate, concatenating, appending, clean, and handling missing values, with NumPy and Pandas. The koran covers how to store and retrieve data from respective data sources such as SQL and NoSQL, CSV fies, and HDF5. We learn how to visualize data using visual image libraries, along with advanced topics such as signal process, clock series, textual data analysis, machine teach, and social media analysis. What you will learn:

• Install open informant Python modules such NumPy, SciPy, Pandas, stasmodels, scikit-learn, theano, keras, and tensorflow on respective platforms
• Prepare and clean your data, and use it for exploratory analysis
• Manipulate your data with Pandas
• Retrieve and store your data from RDBMS, NoSQL, and distributed filesystems such as HDFS and HDF5
• Visualize your data with open source libraries such as matplotlib, bokeh, and plotly
• Learn about various machine learning methods such as supervised, unsupervised, probabilistic, and Bayesian
• Understand signal processing and time series data analysis
• Get to grips with graph processing and social network analysis

Who this book is written for: This book is for programmers, scientists, and engineers who have the cognition of Python and know the basics of data science. It is for those who wish to learn unlike data analysis methods using Python 3.5 and its libraries. This book contains all the basic ingredients you need to become an expert data analyst. publisher ‘s page Python : Data Analytics and Visualization Phuong Vo.T.H, Martin Czygan, Ashish Kumar, Kirthi Raman ISBN 13 : 9781788290098 Packt Publishing 866 pages ( March 2017 ) Book Overview: Data analysis is the march of applying logical and analytic reason in holy order to study each data component. Python ‘s mighty standard libraries or toolkits, such as Pylearn2 and Hebel, offer a firm, reliable, cross-platform environment for data analytics. This learning way will start with basic data analysis and you will then will gradually move on to increasingly complex problems ; your travel will end with representing analyzed data in meaningful visualizations. What you will learn:

• Get acquainted with NumPy and use arrays and array-oriented calculation in data analysis
• Process and analyze data using the time-series capabilities of Pandas
• Understand the statistical and mathematical concepts behind predictive analytics algorithms
• Data visualization with Matplotlib
• interactional diagram with NumPy, Scipy, and MKL functions
• Build financial models using Monte-Carlo simulations
• Create directed graphs and multi-graphs
• Advanced visualization with D3

Who this book is written for: This book is for Python Developers who are keen to get into data psychoanalysis and wish to visualize their analyzed data in a more efficient and insightful manner. publisher ‘s page artificial intelligence with Python Prateek Joshi ISBN 13 : 9781786464392 Packt Publishing 446 pages ( January 2017 ) Book Overview: Starting from the basics of Artificial Intelligence, you will learn how to develop versatile building blocks using different data mine techniques. You will see how to implement unlike algorithms to get the best possible results, and will understand how to apply them to real-world scenarios. If you want to add an intelligence layer to any application that ’ s based on images, textbook, stock market, or some other class of data, this exciting koran on artificial Intelligence will decidedly be your usher ! What you will learn:

• Realize different classification and regression techniques
• Understand the concept of clustering and how to use it to automatically segment data
• See how to build an intelligent recommender system
• Understand logic programming and how to use it
• Build automatic speech recognition systems
• Understand the basics of heuristic search and genetic programming
• Develop games using Artificial Intelligence
• Learn how reinforcement learning works
• Discover how to build intelligent applications centered on images, text, and time series data
• See how to use deep learning algorithms and build applications based on it

Who this book is written for: This ledger is for Python developers who want to build real-world Artificial Intelligence applications. This book is friendly to Python beginners, but being familiar with Python would be useful to play around with the code. It will besides be utilitarian for experienced Python programmers who are looking to use artificial Intelligence techniques in their existing engineering stacks. publisher ‘s page Building Recommendation Engines Suresh Kumar Gorakala ISBN 13 : 9781785884856 Packt Publishing 372 pages ( December 2016 ) Book Overview: The book starts with an introduction to recommendation systems and its applications. You will then start building recommendation engines straight away from the identical basics. As you move along, you will learn to build recommender systems with popular frameworks such as R, Python, Spark, Neo4j, and Hadoop. You will get an insight into the pros and cons of each recommendation locomotive and when to use which recommendation to ensure each pick is the one that suits you the best. What you will learn:

• Build your first recommendation engine
• Discover the tools needed to build recommendation engines
• Dive into the various techniques of recommender systems such as collaborative, content-based, and cross-recommendations
• Create efficient decision-making systems that will ease your work
• Familiarize yourself with machine learning algorithms in different frameworks
• Master different versions of recommendation engines from practical code examples
• Explore various recommender systems and implement them in popular techniques with R,

Who this book is written for: This book caters to beginners and experienced data scientists looking to understand and build complex predictive decision-making systems, recommendation engines using R, Python, Spark, Neo4j, and Hadoop. publisher ‘s page bayesian analysis with Python Osvaldo Martin ISBN 13 : 9781785883804 Packt Publishing 284 pages ( November 2016 ) Book Overview: The determination of this book is to teach the chief concepts of Bayesian data analysis. You will learn how to effectively use PyMC3, a Python library for probabilistic scheduling, to perform bayesian parameter appraisal, to check models and validate them. This book begins presenting the keystone concepts of the Bayesian framework and the main advantages of this approach from a hardheaded indicate of view. Moving on, you will explore the might and tractability of generalize analogue models and how to adapt them to a wide array of problems, including regression and categorization. You will besides look into assortment models and clustering data, and you will finish with promote topics like non-parametrics models and gaussian processes. With the aid of Python and PyMC3 you will learn to implement, check and expand Bayesian models to solve data analysis problems .

• Understand the essentials Bayesian concepts from a practical point of view
• Learn how to build probabilistic models using the Python library PyMC3
• Acquire the skills to sanity-check your models and modify them if necessary
• Add structure to your models and get the advantages of hierarchical models
• Find out how different models can be used to answer different data analysis questions
• When in doubt, learn to choose between alternative models.
• Predict continuous target outcomes using regression analysis or assign classes using logistic and softmax regression.
• Learn how to think probabilistically and unleash the power and flexibility of the Bayesian framework

Who this book is written for: Students, researchers and data scientists who wish to learn Bayesian data analysis with Python and implement probabilistic models in their day to day projects. Programming experience with Python is substantive. No previous statistical cognition is assumed. publisher ‘s page Python : substantial World Machine Learning By Prateek Joshi et alabama. ISBN 13 : 9781787123212 Packt Publishing 941 pages ( November 2016 ) Course Overview: In the first faculty, Python Machine Learning Cookbook, you will learn how to perform assorted machine learning tasks using a wide-eyed variety show of machine learning algorithms to solve real-world problems and use Python to implement these algorithms. The second module, Advanced Machine Learning with Python, is designed to take you on a lead tour of the most relevant and herculean machine learning techniques and you ’ ll acquire a broad jell of mighty skills in the area of feature excerpt and feature engineering. The third module in this learning path, Large Scale Machine Learning with Python, dives into scalable machine learn and the three forms of scalability. It covers the most effective machine learning techniques on a map reduce framework in Hadoop and Spark in Python. This Learning Path will teach you Python machine learning for the very earth. The machine learning techniques covered in this Learning Path are at the forefront of commercial practice. This Learning Path combines some of the best that Packt has to offer in one complete, curated box. It includes content from the following Packt products :

• Python Machine Learning Cookbook by Prateek Joshi
• Advanced Machine Learning with Python by John Hearty
• Large Scale Machine Learning with Python by Bastiaan Sjardin, Alberto Boschetti, Luca Massaron

What you learn:

• Use predictive modeling and apply it to real-world problems
• Understand how to perform market segmentation using unsupervised learning
• Apply your new-found skills to solve real problems, through clearly-explained code for every technique and test
• Compete with top data scientists by gaining a practical and theoretical understanding of cutting-edge deep learning algorithms
• Increase predictive accuracy with deep learning and scalable data-handling techniques
• Work with modern state-of-the-art large-scale machine learning techniques
• Learn to use Python code to implement a range of machine learning algorithms and techniques

Who this course is for: This Learning Path is for Python programmers who are looking to use machine learning algorithms to create real-world applications. It is ideal for Python professionals who want to work with big and building complex datasets and Python developers and analysts or data scientists who are looking to add to their existing skills by accessing some of the most potent recent trends in data science. experience with Python, Jupyter Notebooks, and command-line execution together with a good degree of mathematical cognition to understand the concept is expected. Machine learning basic cognition is besides expected. publisher ‘s page Coffee Break Python: 50 Workouts to Kickstart Your Rapid Code Understanding in Python By Christian Mayer, September 2018, 191 pages ISBN-13 : 978-1719846585 Coffee Break Python : 50 Workouts to Kickstart Your Rapid Code Understanding in Python Little time to learn Python? This book shows you how to learn Python during your coffee break! Coffee Break Python is a modern bit-by-bit learn system where you repeatedly solve hardheaded Python puzzles. Educational inquiry shows that practical low-stake puzzles and tests help you to learn faster, smarter, and better. As you work through Coffee Break Python, your Python expertness will grow—one coffee at a fourth dimension. The book is packed with 50 Python puzzles, 10 hardheaded learning tips, 5 compressed cheat sheets, and 1 newly direction to measure your coding skills. You will train wildly important Python topics such as

• arithmetic operations : integer & float division, and modular arithmetic ;
• Language elements: branching, loops, keywords, and functions;
• Data structures: integer, float, string, list, set, dictionary, and graph;
• Sequence operators: indexing, concatenation, slicing, and built-in functions;
• Function *arguments: default *, arbitrary *, unpacking *, keyword *;
• Set operations: lambda, filter, map, and intersection functions; and
• Algorithms : recursion, Fibonacci, matrix search, house of cards sort, quick kind, lexicographic sort, guess & check, binary search, and graph traversal .

How good are your Python skills? As a bonus, you will track your individual Python tease skill horizontal surface throughout the book. This bible is for you, if you are slenderly beyond beginner-level in Python :

• Do you already have experience with another programming language—and now it’s time to tackle Python?
• Are you a professional engineer and want to brush up your Python skills?
• Are you a student and need to get better at Python for academic courses?

Get the book ! Introduction to Computer Science Using Python: A Computational Problem-Solving Focus By Charles Dierbach, John Wiley & Sons, December 2012, 612 pages ISBN 13 : 978-0-470-55515-6 Recommended by Guido van Rossum “ This is not your average python book … The record is incredibly thorough : there are exercises throughout the textbook ( not precisely at the end of each chapter ), and it includes a overplus of examples, screenshots, tables, charts, diagrams, and photos … I love the final chapter, which is an overview of the history of calculate, starting with Charles Babbage and Ada Lovelace … All in all, I think this book is a great text for anyone teaching CS1. ” Neopythonic Recommended by Textbook Adopter Herbert Daly – University of Bedfordshire “ As a University lecturer with considerable responsibility at level 1, I found this book to be an great insertion to the global of computing and the Python speech. ” Amazon Review Features :

• Basics first approach
• Focus on computational problem solving, starting with Chapter 1
• Hands-on “Let’s Try It” sections and self-test questions throughout the book
• Each chapter section contains a “Let’s Apply It” example program
• Each chapter ends with the step-by-step development and demonstrated debugging techniques of a significant-size program
• Contains various end-of-chapter exercises and assignments, including simple programming exercises, assignments involving the modification of programs from within the chapter, and challenging program development problems
• Thirty-four page final chapter on the history of computing, starting with Charles Babbage, with over 65 historical images
• Python 3 Programmers’ Reference at the end of the book for quick look-up of Python details

PROVIDED INSTRUCTOR MATERIALS :

• instructors’ manual (with answers to chapter exercises and assignments)
• source code for all textbook examples
• solution code for program assignments
• over 1,000 well-designed, PowerPoint slides, including every fundamental view of each chapter
• included test bank

publisher ‘s page ( for instructors ‘ request of an evaluation copy ) [email protected] ( for questions, and case casebook materials ) Building Skills in Object-Oriented Design Steven F. Lott How do you move from OO programming to OO design ? Do a fortune of design focused on building a sophisticated application program. This 269-page reserve has 43 chapters that will help you build OO design skills through the creation of a moderately complex family of application programs. This is a bit-by-bit guide to OO plan and implementation using either the Java or Python program languages. hypertext transfer protocol : //homepage.mac.com/s_lott/books/oodesign.html Problem Solving with Algorithms and Data Structures

• Brad Miller and David Ranum

1590280539, Franklin Beedle & Associates, December 2005 This is a textbook for a CS2 Data Structures Course.

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