Effective PyCharm

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Author :
Publisher : Independently Published
ISBN 13 : 9781095212530
Total Pages : 221 pages
Book Rating : 4.2/5 (125 download)

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Book Synopsis Effective PyCharm by : Michael Kennedy

Download or read book Effective PyCharm written by Michael Kennedy and published by Independently Published. This book was released on 2019-04-19 with total page 221 pages. Available in PDF, EPUB and Kindle. Book excerpt: Hello and welcome to Effective PyCharm. In this book, we're going to look at all the different features of one of the very best environments for interacting and creating Python code, PyCharm. PyCharm is an IDE (integrated development environment) and this book will teach you how you can make the most of this super powerful editor.The first thing we are going to talk about is why do we want to use an IDE in the first place? What value does a relatively heavyweight application like PyCharm bring and why would we want to use it? There are many features that make PyCharm valuable. However, let's begin by talking about the various types of editors we can use and what the trade-offs are there.We're going to start by focusing on creating new projects and working with all the files in them. You'll see there's a bunch of configuration switcheswe can set to be more effective. Then we're going to jump right intowhat I would say is the star of the show--the editor.If you're writing code, you need an editor. You will be writing a lot of code. This includes typing new text and manipulating existing text. The editor has to be awesome and aid you in these tasks. We're going to focus on all the cool features that the PyCharm editor offers. We'll see that source control in particular, Git and Subversion are deeply integrated into PyCharm. There are all sorts of powerful things we can do beyond git, including actual GitHub integration. We are going to focus on source control and the features right inside the IDE.PyCharm is great at *refactoring*. Refactoring code is changing our code to restructure it in a different way, to use a slightly different algorithm, while not actually changing the behavior of the code. There are many powerful techniques in PyCharm that you can use to do this. Because it understands all of your files at once, it can safely refactor. It will even refactor doc strings and other items that could be overlooked without a deep understanding of code structures.There is powerful database tooling in PyCharm. You can interact with most databases including SQLite, MySQL, and Postgres. You can edit the data, edit the schemes, run queries and more. Because PyCharm has a deep understanding of your code, there is even integration between your database schema and the Python text editor. Note that PyCharm has a free version and a professional version. The database features are only available in the professional version.PyCharm is excellent at building web applications using libraries like Django, Pyramid, or Flask. It also has a full JavaScript editor and environment so you can use TypeScript or CoffeeScript. We'll look into both server-side and client-side features.PyCharm has a great visual debugger, and we are going to look at all the different features of it. You can use it to debug and understand your application. It has powerful breakpoint operations and data visualization that typically editors don't have.Profiling is a common task if you want to understand how your code is running. If your application is slow and you want it to go faster, you shouldn't guess where it is slow. PyCharm makes it easy to look at the code determine what it fast and slow, rather than relying on our intuition which may be flawed. PyCharm has some tremendous built-in visual types of tools for us to fundamentally understand the performance of our app.PyCharm has built-in test runners for pytest, unittest, and a number of Python testing frameworks. If you are doing any unit testing or integration testing, PyCharm will come to your aid. For example, one feature you can turn on is auto test execution. If you are changing certain parts of your code, PyCharm will automatically re-run the tests. There are a couple of additional tools that don't really land in any of the above categories. There is a chapter with the additional tools at the end.

Effective Machine Learning Teams

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Author :
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1098144600
Total Pages : 402 pages
Book Rating : 4.0/5 (981 download)

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Book Synopsis Effective Machine Learning Teams by : David Tan

Download or read book Effective Machine Learning Teams written by David Tan and published by "O'Reilly Media, Inc.". This book was released on 2024-02-29 with total page 402 pages. Available in PDF, EPUB and Kindle. Book excerpt: Gain the valuable skills and techniques you need to accelerate the delivery of machine learning solutions. With this practical guide, data scientists, ML engineers, and their leaders will learn how to bridge the gap between data science and Lean product delivery in a practical and simple way. David Tan, Ada Leung, and Dave Colls show you how to apply time-tested software engineering skills and Lean product delivery practices to reduce toil and waste, shorten feedback loops, and improve your team's flow when building ML systems and products. Based on the authors' experience across multiple real-world data and ML projects, the proven techniques in this book will help your team avoid common traps in the ML world, so you can iterate and scale more quickly and reliably. You'll learn how to overcome friction and experience flow when delivering ML solutions. You'll also learn how to: Write automated tests for ML systems, containerize development environments, and refactor problematic codebases Apply MLOps and CI/CD practices to accelerate experimentation cycles and improve reliability of ML solutions Apply Lean delivery and product practices to improve your odds of building the right product for your users Identify suitable team structures and intra- and inter-team collaboration techniques to enable fast flow, reduce cognitive load, and scale ML within your organization

Effective PyCharm

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Author :
Publisher :
ISBN 13 : 9781792310379
Total Pages : 222 pages
Book Rating : 4.3/5 (13 download)

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Book Synopsis Effective PyCharm by : Matt Harrison

Download or read book Effective PyCharm written by Matt Harrison and published by . This book was released on 2019-05-13 with total page 222 pages. Available in PDF, EPUB and Kindle. Book excerpt: PyCharm is a powerful editor for Python, but it is more than just Python. It is an IDE that supports databases, web development, and data science. Effective PyCharm will walk you through how to learn the tools, and explore many of the features. You will learn the in's and out's of PyCharm and immediately improve your productivity.

Mastering PyCharm

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Author :
Publisher : Packt Publishing Ltd
ISBN 13 : 1783551321
Total Pages : 232 pages
Book Rating : 4.7/5 (835 download)

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Book Synopsis Mastering PyCharm by : Quazi Nafiul Islam

Download or read book Mastering PyCharm written by Quazi Nafiul Islam and published by Packt Publishing Ltd. This book was released on 2015-10-23 with total page 232 pages. Available in PDF, EPUB and Kindle. Book excerpt: Use PyCharm with fluid efficiency to write idiomatic python code About This Book Understand how PyCharm works and how you can leverage its strength to develop applications quickly Master PyCharm's editor to get a fast workflow Full of examples and illustrations that focus on the practical aspects of using PyCharm Who This Book Is For If you know PyCharm but want to understand it better and leverage its more powerful but less obvious tool set, this is the book for you. Serving as a launch pad for those who want to master PyCharm and completely harness its best features, it would be helpful if you were familiar with some of Python's most prominent tools such as virtualenv and Python's popular docstring formats such as reStructuredText and EpyType. What You Will Learn Understand the internal workings of the IntelliJ Platform Leverage PyCharm's powerful search tools, and learn which ones are the best for you and your workflow Customize PyCharm's enhanced Python interpreter and its inbuilt terminal Develop web applications quickly and easily with different frameworks such as Flask and Django Understand how code completion works in PyCharm for Python and JavaScript In Detail PyCharm is addictive, with powerful and configurable code completion, superb editing tools, top-notch support, diverse plugins, and a vibrant ecosystem to boot. Learning how PyCharm works and maximising the synergy of its powerful tools will help you to rapidly develop applications. From leveraging the power of the editor to understanding PyCharm's internals, this book will give you a comprehensive view of PyCharm and allow you to make your own choices about which workflow and tools are best for you. You will start by getting comfortable with PyCharm and making it look exactly like you want. You can customize the tools and taskbars to suit individual developers' coding styles. You also learn how to assign keyboard shortcuts. You will master debugging by inserting breakpoints, collecting runtime data, and debugging from the console. You will understand how PyCharm works underneath and how plugins such as Codemap, Vim, Bitbucket, Assets compressor, markdown, bash file, shortcut translator, and .gitignore leverage the power of the IntelliJ platform. You will become comfortable using the VCS interface in PyCharm and see the benefits of using it for some simple tasks as well as some more complex tasks such as partial commits using changelists. You will take an in-depth look at the various tools in PyCharm, improving your workflow drastically. Finally, you will deploy powerful PyCharm tools for Django, Flask, GAE, and Pyramid Development, becoming well acquainted with PyCharm's toolset for web development with popular platforms. Packed with insider tricks, this book will help you boost productivity with PyCharm. Style and approach An easy-to-follow guide with plenty of examples and screenshots. Each topic starts off with the goal of enhancing or changing a part of PyCharm to make it suit your needs.

Hands-On Application Development with PyCharm

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Author :
Publisher : Packt Publishing Ltd
ISBN 13 : 1789342864
Total Pages : 475 pages
Book Rating : 4.7/5 (893 download)

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Book Synopsis Hands-On Application Development with PyCharm by : Quan Nguyen

Download or read book Hands-On Application Development with PyCharm written by Quan Nguyen and published by Packt Publishing Ltd. This book was released on 2019-09-27 with total page 475 pages. Available in PDF, EPUB and Kindle. Book excerpt: A definitive guide to PyCharm to help you build business-oriented Python applications ranging from modern web development to data science Key FeaturesLearn basic to advanced PyCharm concepts to improve efficiency of your Python projectsWork through practical examples that focus on efficient application development with PyCharmExplore advanced features in PyCharm such as code automation, version control, and GUI debuggingBook Description JetBrain’s PyCharm is the most popular Integrated Development Environment (IDE) used by the Python community thanks to its numerous features that facilitate faster, more accurate, and more productive programming practices. However, the abundance of options and customizations can make PyCharm seem quite intimidating. Hands-on Application Development with PyCharm starts with PyCharm’s installation and configuration process, and systematically takes you through a number of its powerful features that can greatly improve your productivity. You’ll explore code automation, version control, graphical debugging/testing, management of virtual environments, and much more. Finally, you’ll delve into specific PyCharm features that support web development and data science, two of the fastest growing applications in Python programming. These include the integration of the Django framework as well as the extensive support for IPython and Jupyter Notebook. By the end of this PyCharm book, you will have gained extensive knowledge of the tool and be able to implement its features and make the most of its support for your projects. What you will learnExplore PyCharm functionalities and what makes it stand out from other Python IDEsSet up, configure, and customize your Python projects in PyCharmUnderstand how PyCharm integrates with Django for web developmentDiscover PyCharm's capabilities in database management and data visualizationPerform code automation, GUI testing, and version control in PyCharmIntegrate interactive Python tools such as Jupyter Notebooks for building virtual environmentsWho this book is for If you’re a beginner or an expert Python user looking to improve your productivity using one of the best Python IDEs, this book is for you. Basic knowledge of Python programming language is expected.

Coding Adventures with Python and PyCharm for Kids

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Author :
Publisher : Ghada Atef
ISBN 13 :
Total Pages : 102 pages
Book Rating : 4./5 ( download)

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Book Synopsis Coding Adventures with Python and PyCharm for Kids by : Ghada Atef

Download or read book Coding Adventures with Python and PyCharm for Kids written by Ghada Atef and published by Ghada Atef. This book was released on 2024-03-01 with total page 102 pages. Available in PDF, EPUB and Kindle. Book excerpt: Spark Your Child's Creativity with Python Programming! Master PyCharm, the Fun and Easy Way to Code! This engaging guide empowers kids of all experience levels (age 8+) to learn Python programming using PyCharm, a powerful and user-friendly IDE. Kids will love: - Writing their first program and making cool things happen on the screen! - Learning fun coding concepts with colorful graphics and interactive exercises. - Feeling like a pro coder with their own Python projects. Parents will appreciate: - A step-by-step approach that gets kids coding in minutes. - A strong foundation in Python that sets them up for future success. - The development of problem-solving and critical thinking skills through coding. Get Started Today: - Install and set up PyCharm in minutes, ready to code! - Write your first Python program and say "Hello, world!" - Explore coding concepts with clear explanations and fun examples (variables, data types, loops, and more!). Build Your Skills: - Master variables, data types, and control the flow of your programs. - Create functions and modules to organize your code like a pro. - Debug your programs and fix any errors with ease. Become a Coding Pro: - Learn project management and keep your code organized. - Boost your productivity with keyboard shortcuts and plugins. - Collaborate with others and share your coding creations! By the end, your child will: - Confidently create their own Python projects - Have a strong foundation in Python programming - Develop problem-solving and critical thinking skills The perfect resource for: - Budding coders (age 8+) - Parents looking for engaging STEM activities - Educators teaching Python programming basics Unlock the world of coding for your child! Get your copy of "Coding Adventures with Python and PyCharm for Kids" today! Keywords: Python Programming for Kids, Learn Python, PyCharm IDE, Coding for Beginners, Kids Coding, STEM Education, Educational Games, Python for Kids Book

Hands-On Application Development with PyCharm

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Author :
Publisher : Packt Publishing Ltd
ISBN 13 : 1837636974
Total Pages : 652 pages
Book Rating : 4.8/5 (376 download)

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Book Synopsis Hands-On Application Development with PyCharm by : Bruce M. Van Horn II

Download or read book Hands-On Application Development with PyCharm written by Bruce M. Van Horn II and published by Packt Publishing Ltd. This book was released on 2023-10-20 with total page 652 pages. Available in PDF, EPUB and Kindle. Book excerpt: Unleash the power of PyCharm to craft business, scientific, and web applications in Python with this definitive guide Key Features Learn basic to advanced PyCharm concepts to improve developer efficiency on your Python projects Learn with practical examples that focus on efficient application development Explore features such as code automation, graphical debugging, and remote development Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionIn the quest to develop robust, professional-grade software with Python and meet tight deadlines, it’s crucial to have the best tools at your disposal. In this second edition of Hands-on Application Development with PyCharm, you’ll learn tips and tricks to work at a speed and proficiency previously reserved only for elite developers. To achieve that, you’ll be introduced to PyCharm, the premiere professional integrated development environment for Python programmers among the myriad of IDEs available. Regardless of how Python is utilized, whether for general automation scripting, utility creation, web applications, data analytics, machine learning, or business applications, PyCharm offers tooling that simplifies complex tasks and streamlines common ones. In this book, you'll find everything you need to harness PyCharm's full potential and make the most of Pycharm's productivity shortcuts. The book comprehensively covers topics ranging from installation and customization to web development, database management, and data analysis pipeline development helping you become proficient in Python application development in diverse domains. By the end of this book, you’ll have discovered the remarkable capabilities of PyCharm and how you can achieve a new level of capability and productivity.What you will learn Explore basic and advanced PyCharm features Set up, configure, and customize your Python projects in PyCharm Develop web applications with Flask, Django, FastAPI, and Pyramid Discover PyCharm's capabilities for database management and data visualization Explore code automation, debugging, and remote development in PyCharm Perform data science tasks using Jupyter notebooks, NumPy, and pandas Who this book is forThis book is for Python practitioners and learners looking to boost their productivity and proficiency by harnessing the features and capabilities of PyCharm, all while gaining insights into best practices for modern application development. Basic knowledge of Python is required, making the book accessible to both newcomers and experienced Python developers.

IntelliJ IDEA Essentials

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Publisher : Packt Publishing Ltd
ISBN 13 : 1784398691
Total Pages : 276 pages
Book Rating : 4.7/5 (843 download)

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Book Synopsis IntelliJ IDEA Essentials by : Jarosław Krochmalski

Download or read book IntelliJ IDEA Essentials written by Jarosław Krochmalski and published by Packt Publishing Ltd. This book was released on 2014-12-22 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is for developers who want to work smarter so they can focus their efforts on the details that will give them the advantage. This book is tailor-made for developers who want to move from NetBeans and Eclipse to experience the power and functionality of IntelliJ IDEA.

Effective Data Science Infrastructure

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Author :
Publisher : Simon and Schuster
ISBN 13 : 1617299197
Total Pages : 350 pages
Book Rating : 4.6/5 (172 download)

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Book Synopsis Effective Data Science Infrastructure by : Ville Tuulos

Download or read book Effective Data Science Infrastructure written by Ville Tuulos and published by Simon and Schuster. This book was released on 2022-08-16 with total page 350 pages. Available in PDF, EPUB and Kindle. Book excerpt: Effective Data Science Infrastructure: How to make data scientists more productive is a hands-on guide to assembling infrastructure for data science and machine learning applications. It reveals the processes used at Netflix and other data-driven companies to manage their cutting edge data infrastructure. In it, you'll master scalable techniques for data storage, computation, experiment tracking, and orchestration that are relevant to companies of all shapes and sizes. You'll learn how you can make data scientists more productive with your existing cloud infrastructure, a stack of open source software, and idiomatic Python.

Treading on Python Volume 1

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Author :
Publisher : Matt Harrison
ISBN 13 : 1475266413
Total Pages : 170 pages
Book Rating : 4.4/5 (752 download)

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Book Synopsis Treading on Python Volume 1 by : Matt Harrison

Download or read book Treading on Python Volume 1 written by Matt Harrison and published by Matt Harrison. This book was released on 2012-05-23 with total page 170 pages. Available in PDF, EPUB and Kindle. Book excerpt: Treading on Python is designed to bring developers and others who are anxious to learn Python up to speed quickly. Not only does it teach the basics of syntax, but it condenses years of experience. You will learn warts, gotchas, best practices and hints that have been gleaned through the years in days. You will hit the ground running and running in the right way.

Python Testing with Pytest

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Author :
Publisher :
ISBN 13 : 9781680502848
Total Pages : 222 pages
Book Rating : 4.5/5 (28 download)

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Book Synopsis Python Testing with Pytest by : Brian Okken

Download or read book Python Testing with Pytest written by Brian Okken and published by . This book was released on 2017 with total page 222 pages. Available in PDF, EPUB and Kindle. Book excerpt: Do less work when testing your Python code, but be just as expressive, just as elegant, and just as readable. The pytest testing framework helps you write tests quickly and keep them readable and maintainable - with no boilerplate code. Using a robust yet simple fixture model, it's just as easy to write small tests with pytest as it is to scale up to complex functional testing for applications, packages, and libraries. This book shows you how. For Python-based projects, pytest is the undeniable choice to test your code if you're looking for a full-featured, API-independent, flexible, and extensible testing framework. With a full-bodied fixture model that is unmatched in any other tool, the pytest framework gives you powerful features such as assert rewriting and plug-in capability - with no boilerplate code. With simple step-by-step instructions and sample code, this book gets you up to speed quickly on this easy-to-learn and robust tool. Write short, maintainable tests that elegantly express what you're testing. Add powerful testing features and still speed up test times by distributing tests across multiple processors and running tests in parallel. Use the built-in assert statements to reduce false test failures by separating setup and test failures. Test error conditions and corner cases with expected exception testing, and use one test to run many test cases with parameterized testing. Extend pytest with plugins, connect it to continuous integration systems, and use it in tandem with tox, mock, coverage, unittest, and doctest. Write simple, maintainable tests that elegantly express what you're testing and why. What You Need: The examples in this book are written using Python 3.6 and pytest 3.0. However, pytest 3.0 supports Python 2.6, 2.7, and Python 3.3-3.6.

The Big Book of Small Python Projects

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Author :
Publisher : No Starch Press
ISBN 13 : 1718501242
Total Pages : 433 pages
Book Rating : 4.7/5 (185 download)

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Book Synopsis The Big Book of Small Python Projects by : Al Sweigart

Download or read book The Big Book of Small Python Projects written by Al Sweigart and published by No Starch Press. This book was released on 2021-06-25 with total page 433 pages. Available in PDF, EPUB and Kindle. Book excerpt: Best-selling author Al Sweigart shows you how to easily build over 80 fun programs with minimal code and maximum creativity. If you’ve mastered basic Python syntax and you’re ready to start writing programs, you’ll find The Big Book of Small Python Projects both enlightening and fun. This collection of 81 Python projects will have you making digital art, games, animations, counting pro- grams, and more right away. Once you see how the code works, you’ll practice re-creating the programs and experiment by adding your own custom touches. These simple, text-based programs are 256 lines of code or less. And whether it’s a vintage screensaver, a snail-racing game, a clickbait headline generator, or animated strands of DNA, each project is designed to be self-contained so you can easily share it online. You’ll create: • Hangman, Blackjack, and other games to play against your friends or the computer • Simulations of a forest fire, a million dice rolls, and a Japanese abacus • Animations like a virtual fish tank, a rotating cube, and a bouncing DVD logo screensaver • A first-person 3D maze game • Encryption programs that use ciphers like ROT13 and Vigenère to conceal text If you’re tired of standard step-by-step tutorials, you’ll love the learn-by-doing approach of The Big Book of Small Python Projects. It’s proof that good things come in small programs!

Practical Data Science with Hadoop and Spark

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Author :
Publisher : Addison-Wesley Professional
ISBN 13 : 0134029720
Total Pages : 463 pages
Book Rating : 4.1/5 (34 download)

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Book Synopsis Practical Data Science with Hadoop and Spark by : Ofer Mendelevitch

Download or read book Practical Data Science with Hadoop and Spark written by Ofer Mendelevitch and published by Addison-Wesley Professional. This book was released on 2016-12-08 with total page 463 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Complete Guide to Data Science with Hadoop—For Technical Professionals, Businesspeople, and Students Demand is soaring for professionals who can solve real data science problems with Hadoop and Spark. Practical Data Science with Hadoop® and Spark is your complete guide to doing just that. Drawing on immense experience with Hadoop and big data, three leading experts bring together everything you need: high-level concepts, deep-dive techniques, real-world use cases, practical applications, and hands-on tutorials. The authors introduce the essentials of data science and the modern Hadoop ecosystem, explaining how Hadoop and Spark have evolved into an effective platform for solving data science problems at scale. In addition to comprehensive application coverage, the authors also provide useful guidance on the important steps of data ingestion, data munging, and visualization. Once the groundwork is in place, the authors focus on specific applications, including machine learning, predictive modeling for sentiment analysis, clustering for document analysis, anomaly detection, and natural language processing (NLP). This guide provides a strong technical foundation for those who want to do practical data science, and also presents business-driven guidance on how to apply Hadoop and Spark to optimize ROI of data science initiatives. Learn What data science is, how it has evolved, and how to plan a data science career How data volume, variety, and velocity shape data science use cases Hadoop and its ecosystem, including HDFS, MapReduce, YARN, and Spark Data importation with Hive and Spark Data quality, preprocessing, preparation, and modeling Visualization: surfacing insights from huge data sets Machine learning: classification, regression, clustering, and anomaly detection Algorithms and Hadoop tools for predictive modeling Cluster analysis and similarity functions Large-scale anomaly detection NLP: applying data science to human language

ICT: Smart Systems and Technologies

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Author :
Publisher : Springer Nature
ISBN 13 : 9819994896
Total Pages : 472 pages
Book Rating : 4.8/5 (199 download)

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Book Synopsis ICT: Smart Systems and Technologies by : M. Shamim Kaiser

Download or read book ICT: Smart Systems and Technologies written by M. Shamim Kaiser and published by Springer Nature. This book was released on 2024 with total page 472 pages. Available in PDF, EPUB and Kindle. Book excerpt: Zusammenfassung: This book contains best selected research papers presented at ICTCS 2023: Eighth International Conference on Information and Communication Technology for Competitive Strategies. The conference will be held in Jaipur, India during 8 - 9 December 2023. The book covers state-of-the-art as well as emerging topics pertaining to ICT and effective strategies for its implementation for engineering and managerial applications. This book contains papers mainly focused on ICT for computation, algorithms and data analytics and IT security. The work is presented in five volumes

97 Things Every Java Programmer Should Know

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Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1491952644
Total Pages : 259 pages
Book Rating : 4.4/5 (919 download)

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Book Synopsis 97 Things Every Java Programmer Should Know by : Kevlin Henney

Download or read book 97 Things Every Java Programmer Should Know written by Kevlin Henney and published by "O'Reilly Media, Inc.". This book was released on 2020-05-15 with total page 259 pages. Available in PDF, EPUB and Kindle. Book excerpt: If you want to push your Java skills to the next level, this book provides expert advice from Java leaders and practitioners. You’ll be encouraged to look at problems in new ways, take broader responsibility for your work, stretch yourself by learning new techniques, and become as good at the entire craft of development as you possibly can. Edited by Kevlin Henney and Trisha Gee, 97 Things Every Java Programmer Should Know reflects lifetimes of experience writing Java software and living with the process of software development. Great programmers share their collected wisdom to help you rethink Java practices, whether working with legacy code or incorporating changes since Java 8. A few of the 97 things you should know: "Behavior Is Easy, State Is Hard"—Edson Yanaga “Learn Java Idioms and Cache in Your Brain”—Jeanne Boyarsky “Java Programming from a JVM Performance Perspective”—Monica Beckwith "Garbage Collection Is Your Friend"—Holly K Cummins “Java's Unspeakable Types”—Ben Evans "The Rebirth of Java"—Sander Mak “Do You Know What Time It Is?”—Christin Gorman

Python Crash Course

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Author :
Publisher : No Starch Press
ISBN 13 : 1593277393
Total Pages : 564 pages
Book Rating : 4.5/5 (932 download)

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Book Synopsis Python Crash Course by : Eric Matthes

Download or read book Python Crash Course written by Eric Matthes and published by No Starch Press. This book was released on 2015-11-01 with total page 564 pages. Available in PDF, EPUB and Kindle. Book excerpt: Python Crash Course is a fast-paced, thorough introduction to Python that will have you writing programs, solving problems, and making things that work in no time. In the first half of the book, you’ll learn about basic programming concepts, such as lists, dictionaries, classes, and loops, and practice writing clean and readable code with exercises for each topic. You’ll also learn how to make your programs interactive and how to test your code safely before adding it to a project. In the second half of the book, you’ll put your new knowledge into practice with three substantial projects: a Space Invaders–inspired arcade game, data visualizations with Python’s super-handy libraries, and a simple web app you can deploy online. As you work through Python Crash Course you’ll learn how to: –Use powerful Python libraries and tools, including matplotlib, NumPy, and Pygal –Make 2D games that respond to keypresses and mouse clicks, and that grow more difficult as the game progresses –Work with data to generate interactive visualizations –Create and customize Web apps and deploy them safely online –Deal with mistakes and errors so you can solve your own programming problems If you’ve been thinking seriously about digging into programming, Python Crash Course will get you up to speed and have you writing real programs fast. Why wait any longer? Start your engines and code! Uses Python 2 and 3

Hands-On GPU Computing with Python

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Author :
Publisher : Packt Publishing Ltd
ISBN 13 : 1789342406
Total Pages : 441 pages
Book Rating : 4.7/5 (893 download)

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Book Synopsis Hands-On GPU Computing with Python by : Avimanyu Bandyopadhyay

Download or read book Hands-On GPU Computing with Python written by Avimanyu Bandyopadhyay and published by Packt Publishing Ltd. This book was released on 2019-05-14 with total page 441 pages. Available in PDF, EPUB and Kindle. Book excerpt: Explore GPU-enabled programmable environment for machine learning, scientific applications, and gaming using PuCUDA, PyOpenGL, and Anaconda Accelerate Key FeaturesUnderstand effective synchronization strategies for faster processing using GPUsWrite parallel processing scripts with PyCuda and PyOpenCLLearn to use the CUDA libraries like CuDNN for deep learning on GPUsBook Description GPUs are proving to be excellent general purpose-parallel computing solutions for high performance tasks such as deep learning and scientific computing. This book will be your guide to getting started with GPU computing. It will start with introducing GPU computing and explain the architecture and programming models for GPUs. You will learn, by example, how to perform GPU programming with Python, and you’ll look at using integrations such as PyCUDA, PyOpenCL, CuPy and Numba with Anaconda for various tasks such as machine learning and data mining. Going further, you will get to grips with GPU work flows, management, and deployment using modern containerization solutions. Toward the end of the book, you will get familiar with the principles of distributed computing for training machine learning models and enhancing efficiency and performance. By the end of this book, you will be able to set up a GPU ecosystem for running complex applications and data models that demand great processing capabilities, and be able to efficiently manage memory to compute your application effectively and quickly. What you will learnUtilize Python libraries and frameworks for GPU accelerationSet up a GPU-enabled programmable machine learning environment on your system with AnacondaDeploy your machine learning system on cloud containers with illustrated examplesExplore PyCUDA and PyOpenCL and compare them with platforms such as CUDA, OpenCL and ROCm.Perform data mining tasks with machine learning models on GPUsExtend your knowledge of GPU computing in scientific applicationsWho this book is for Data Scientist, Machine Learning enthusiasts and professionals who wants to get started with GPU computation and perform the complex tasks with low-latency. Intermediate knowledge of Python programming is assumed.