Github For Next Generation Coders

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Github For Next Generation Coders

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Author : Igor Irić
language : en
Publisher: Packt Publishing Ltd
Release Date : 2024-07-31

Github For Next Generation Coders written by Igor Irić and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-31 with Computers categories.

Build a powerful portfolio on GitHub that showcases your most impressive coding projects and technical skills Key Features Explore GitHub's powerful features and make it the central hub for all your coding adventures Learn how to use GitHub Copilot as your coding sidekick, suggesting lines of code to help you write faster and smarter Learn how to optimize and personalize your GitHub profiles for maximum impact from a community leader Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionNavigating the world of collaborative software development can be daunting, especially for young coders just starting their programming journey. This book is designed to take you on a coding adventure, transforming you from a curious beginner into a confident GitHub user. The book builds a solid foundation and explains the Git version control system in depth, helping you understand how to track changes, collaborate effectively, and manage your projects with ease. You'll master repositories, the building blocks of your coding projects, and learn branching strategies to experiment and work seamlessly with others. The chapters will teach you about GitHub Actions, guiding you through workflow syntax, exploring environments and secrets management, and providing hands-on exercises to solidify your understanding. You’ll also discover how to craft a compelling GitHub profile that highlights your achievements and discover the exciting world of open-source projects where you can contribute and give back to the community. To get you started with AI, you’ll also learn how to leverage Copilot and ChatGPT together to write faster, cleaner code. By the end of this book, you’ll be well prepared to contribute to real-world projects on GitHub, equipped with the skills to thrive in the world of collaborative software development.What you will learn Travel back in code history and track different versions of your projects Keep your code blocks neat and tidy within your repository, just like sorting puzzle pieces to create a masterpiece Create branches to experiment with new ideas or features without messing up your main code Use Git to share your suggestions and collaborate with other coders to make your code even more amazing Automate and level up your coding game with GitHub Actions Build your coder reputation by contributing to open source projects Who this book is for This book is for young, tech-curious individuals eager to find out more about the world of software development. If you are a student motivated to learn GitHub to better understand collaborative coding practices, manage projects effectively, and potentially pursue careers or hobbies in the technology field, then this book is for you.

Github Copilot For Developers

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Author : Rob Botwright
language : en
Publisher: Rob Botwright
Release Date : 101-01-01

Github Copilot For Developers written by Rob Botwright and has been published by Rob Botwright this book supported file pdf, txt, epub, kindle and other format this book has been release on 101-01-01 with Computers categories.

🚀 Welcome to the GitHub Copilot for Developers book bundle! 🚀 Are you ready to take your coding skills to the next level with AI-assisted programming? Look no further! Our comprehensive bundle offers everything you need to become a master developer with GitHub Copilot. 📘 Book 1: GitHub Copilot Companion 📘 Get started on your journey to smart coding with an introduction to AI-assisted programming. Learn how GitHub Copilot generates contextually relevant code suggestions, speeding up your development process and reducing errors. 📗 Book 2: Mastering AI Pair Programming 📗 Ready to advance your skills? Dive into advanced techniques for developers and discover how to maximize productivity with Copilot. From optimizing code generation to seamlessly integrating Copilot into your workflow, become a coding pro in no time! 📕 Book 3: Efficient Coding with GitHub Copilot 📕 Intermediate developers, this one's for you! Explore strategies for writing cleaner, more maintainable code and enhancing your coding efficiency with Copilot. Streamline your development process and take your projects to the next level. 📙 Book 4: Expert Insights 📙 Unlock the secrets of leveraging Copilot for complex development tasks with expert insights and real-world use cases. From refactoring legacy codebases to scaling Copilot for large-scale projects, conquer any coding challenge with confidence. With GitHub Copilot for Developers, you'll revolutionize your development workflow, write code faster and smarter, and unlock endless possibilities for innovation. Don't miss out on this opportunity to become a coding master! Get your bundle today and embark on a journey to coding excellence.

Deep Learning With Python

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Author : Francois Chollet
language : en
Publisher: Simon and Schuster
Release Date : 2017-11-30

Deep Learning With Python written by Francois Chollet and has been published by Simon and Schuster this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-11-30 with Computers categories.

Summary Deep Learning with Python introduces the field of deep learning using the Python language and the powerful Keras library. Written by Keras creator and Google AI researcher François Chollet, this book builds your understanding through intuitive explanations and practical examples. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology Machine learning has made remarkable progress in recent years. We went from near-unusable speech and image recognition, to near-human accuracy. We went from machines that couldn't beat a serious Go player, to defeating a world champion. Behind this progress is deep learning—a combination of engineering advances, best practices, and theory that enables a wealth of previously impossible smart applications. About the Book Deep Learning with Python introduces the field of deep learning using the Python language and the powerful Keras library. Written by Keras creator and Google AI researcher François Chollet, this book builds your understanding through intuitive explanations and practical examples. You'll explore challenging concepts and practice with applications in computer vision, natural-language processing, and generative models. By the time you finish, you'll have the knowledge and hands-on skills to apply deep learning in your own projects. What's Inside Deep learning from first principles Setting up your own deep-learning environment Image-classification models Deep learning for text and sequences Neural style transfer, text generation, and image generation About the Reader Readers need intermediate Python skills. No previous experience with Keras, TensorFlow, or machine learning is required. About the Author François Chollet works on deep learning at Google in Mountain View, CA. He is the creator of the Keras deep-learning library, as well as a contributor to the TensorFlow machine-learning framework. He also does deep-learning research, with a focus on computer vision and the application of machine learning to formal reasoning. His papers have been published at major conferences in the field, including the Conference on Computer Vision and Pattern Recognition (CVPR), the Conference and Workshop on Neural Information Processing Systems (NIPS), the International Conference on Learning Representations (ICLR), and others. Table of Contents PART 1 - FUNDAMENTALS OF DEEP LEARNING What is deep learning? Before we begin: the mathematical building blocks of neural networks Getting started with neural networks Fundamentals of machine learning PART 2 - DEEP LEARNING IN PRACTICE Deep learning for computer vision Deep learning for text and sequences Advanced deep-learning best practices Generative deep learning Conclusions appendix A - Installing Keras and its dependencies on Ubuntu appendix B - Running Jupyter notebooks on an EC2 GPU instance

Github For Dummies

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Author : Sarah Guthals
language : en
Publisher: John Wiley & Sons
Release Date : 2023-01-27

Github For Dummies written by Sarah Guthals and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-01-27 with Computers categories.

Get more out of your coding with GitHub For today’s coders, GitHub is a must. The world’s largest software development platform, GitHub helps developers store, track, and collaborate on software projects. In this easy-to-follow Dummies guide, you’ll find insight into creating repositories, establishing projects, collaborating, incorporating open-source resources, and establishing yourself as a valued member of the GitHub community. With a working knowledge of GitHub, you’ll be a better, more employable programmer. The simple instructions and interactive examples in this book will get you there quickly. Get the instructions you need for using GitHub to collaborate on software projects Become more attractive to employers with knowledge and experience in the largest development platform Set up GitHub Desktop, create a repository, and launch your first project Use GitHub Skills courses to learn new tricks, for beginners to pros You’ve learned how to write a little code—now learn how to share it with GitHub.

Introducing Github

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Author : Peter Bell
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2014-11-11

Introducing Github written by Peter Bell and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-11-11 with Computers categories.

If you’re new to GitHub, this concise book shows you just what you need to get started and no more. It’s perfect for project and product managers, stakeholders, and other team members who want to collaborate on a development project—whether it’s to review and comment on work in progress or to contribute specific changes. It’s also great for developers just learning GitHub. GitHub has rapidly become the default platform for software development, but it’s also ideal for other text-based documents, from contracts to screenplays. This hands-on book shows you how to use GitHub’s web interface to view projects and collaborate effectively with your team. Learn how and why people use GitHub to collaborate View the status of a project—recent changes, outstanding work, and historic changes Create and edit files through GitHub without learning Git Suggest changes to projects you don’t have permission to edit directly Use tools like issues, pull requests, and branches to specify and collaborate on changes Create a new GitHub repository to control who has access to your project

The Definitive Antlr 4 Reference

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Author : Terence Parr
language : en
Publisher: Pragmatic Bookshelf
Release Date : 2013-01-15

The Definitive Antlr 4 Reference written by Terence Parr and has been published by Pragmatic Bookshelf this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-01-15 with Computers categories.

Programmers run into parsing problems all the time. Whether it's a data format like JSON, a network protocol like SMTP, a server configuration file for Apache, a PostScript/PDF file, or a simple spreadsheet macro language--ANTLR v4 and this book will demystify the process. ANTLR v4 has been rewritten from scratch to make it easier than ever to build parsers and the language applications built on top. This completely rewritten new edition of the bestselling Definitive ANTLR Reference shows you how to take advantage of these new features. Build your own languages with ANTLR v4, using ANTLR's new advanced parsing technology. In this book, you'll learn how ANTLR automatically builds a data structure representing the input (parse tree) and generates code that can walk the tree (visitor). You can use that combination to implement data readers, language interpreters, and translators. You'll start by learning how to identify grammar patterns in language reference manuals and then slowly start building increasingly complex grammars. Next, you'll build applications based upon those grammars by walking the automatically generated parse trees. Then you'll tackle some nasty language problems by parsing files containing more than one language (such as XML, Java, and Javadoc). You'll also see how to take absolute control over parsing by embedding Java actions into the grammar. You'll learn directly from well-known parsing expert Terence Parr, the ANTLR creator and project lead. You'll master ANTLR grammar construction and learn how to build language tools using the built-in parse tree visitor mechanism. The book teaches using real-world examples and shows you how to use ANTLR to build such things as a data file reader, a JSON to XML translator, an R parser, and a Java class->interface extractor. This book is your ticket to becoming a parsing guru! What You Need: ANTLR 4.0 and above. Java development tools. Ant build system optional(needed for building ANTLR from source)

Mastering Github Actions

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Author : Eric Chapman
language : en
Publisher: Packt Publishing Ltd
Release Date : 2024-03-22

Mastering Github Actions written by Eric Chapman and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-22 with Computers categories.

Explore the full spectrum of GitHub Actions to unlock your team's potential and become a pro in no time Key Features Master GitHub events to foster a self-service mindset Elevate your GitHub Actions knowledge to a whole new level through real-world examples Learn how to integrate with popular cloud-based products within your workflows Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionNavigating GitHub Actions often leaves developers grappling with inefficiencies and collaboration bottlenecks. Mastering GitHub Actions offers solutions to these challenges, ensuring smoother software development. With 16 extensive chapters, this book simplifies GitHub Actions, walking you through its vast capabilities, from team and enterprise features to organization defaults, self-hosted runners, and monitoring tools. You’ll learn how to craft reusable workflows, design bespoke templates, publish actions, incorporate external services, and introduce enhanced security measures. Through hands-on examples, you’ll gain best-practice insights for team-based GitHub Actions workflows and discover strategies for maximizing organization accounts. Whether you’re a software engineer or a DevOps guru, by the end of this book, you'll be adept at amplifying productivity and leveraging automation's might to refine your development process.What you will learn Explore GitHub Actions' features for team and business settings Create reusable workflows, templates, and standardized processes to reduce overhead Get to grips with CI/CD integrations, code quality tools, and communication Understand self-hosted runners for greater control of resources and settings Discover tools to optimize GitHub Actions and manage resources efficiently Work through examples to enhance projects, teamwork, and productivity Who this book is for This book is for developers with a foundation in CI/CD, code quality tools, and team communication keen on exploring GitHub Actions. It’s ideal for DevOps engineers, system administrators, software developers, IT specialists, automation aficionados, and university students focused on software integration and deployment. Those familiar with GitHub's ecosystem will find this content insightful.

Git For Programmers

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Author : Jesse Liberty
language : en
Publisher: Packt Publishing Ltd
Release Date : 2021-06-30

Git For Programmers written by Jesse Liberty and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-30 with Computers categories.

Learn to track, branch, merge, and manage code revisions for real-world development scenarios Key FeaturesMaster Git and maintain your projects better through version controlGet to grips with Git's typical workflows, advanced functions, and their implementationsLearn the key Git commands to better manage your repositoryBook Description Whether you're looking for a book to deepen your understanding of Git or a refresher, this book is the ultimate guide to Git. Git for Programmers comprehensively equips you with actionable insights on advanced Git concepts in an engaging and straightforward way. As you progress through the chapters, you'll gain expertise (and confidence) on Git with lots of practical use cases. After a quick refresher on git history and installation, you'll dive straight into the creation and cloning of your repository. You'll explore Git places, branching, and GUIs to get familiar with the fundamentals. Then you'll learn how to handle merge conflicts, rebase, amend, interactive rebase, and use the log, as well as explore important Git commands for managing your repository. The troubleshooting part of this Git book will include detailed instructions on how to bisect, blame, and several other problem handling techniques that will complete your newly acquired Git arsenal. By the end of this book, you'll be using Git with confidence. Saving, sharing, managing files as well as undoing mistakes and basically rewriting history will be a breeze. What you will learnCreate remote and local repositories and learn how to clone themUnderstand the difference between local and remote repositoriesUse, manage, and merge branches back into the main branchUtilize tools to manage merge conflictsManage commits on your local machine through interactive rebasingUse the log to gain control over all the data in your repositoryUse bisect, blame, and other tools to undo Git mistakesWho this book is for If you have basic understanding of Git and want to strengthen your command over advanced techniques and navigate different functions, this book is for you. Knowing the fundamentals of Git will help you get the most out of this book, but beginners willing to invest some extra effort will be able to follow along as well.

Deep Learning For Coders With Fastai And Pytorch

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Author : Jeremy Howard
language : en
Publisher: O'Reilly Media
Release Date : 2020-06-29

Deep Learning For Coders With Fastai And Pytorch written by Jeremy Howard and has been published by O'Reilly Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-29 with Computers categories.

Deep learning is often viewed as the exclusive domain of math PhDs and big tech companies. But as this hands-on guide demonstrates, programmers comfortable with Python can achieve impressive results in deep learning with little math background, small amounts of data, and minimal code. How? With fastai, the first library to provide a consistent interface to the most frequently used deep learning applications. Authors Jeremy Howard and Sylvain Gugger, the creators of fastai, show you how to train a model on a wide range of tasks using fastai and PyTorch. You’ll also dive progressively further into deep learning theory to gain a complete understanding of the algorithms behind the scenes. Train models in computer vision, natural language processing, tabular data, and collaborative filtering Learn the latest deep learning techniques that matter most in practice Improve accuracy, speed, and reliability by understanding how deep learning models work Discover how to turn your models into web applications Implement deep learning algorithms from scratch Consider the ethical implications of your work Gain insight from the foreword by PyTorch cofounder, Soumith Chintala

Mastering Reinforcement Learning With Python

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Author : Enes Bilgin
language : en
Publisher: Packt Publishing Ltd
Release Date : 2020-12-18

Mastering Reinforcement Learning With Python written by Enes Bilgin and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-18 with Computers categories.

Get hands-on experience in creating state-of-the-art reinforcement learning agents using TensorFlow and RLlib to solve complex real-world business and industry problems with the help of expert tips and best practices Key FeaturesUnderstand how large-scale state-of-the-art RL algorithms and approaches workApply RL to solve complex problems in marketing, robotics, supply chain, finance, cybersecurity, and moreExplore tips and best practices from experts that will enable you to overcome real-world RL challengesBook Description Reinforcement learning (RL) is a field of artificial intelligence (AI) used for creating self-learning autonomous agents. Building on a strong theoretical foundation, this book takes a practical approach and uses examples inspired by real-world industry problems to teach you about state-of-the-art RL. Starting with bandit problems, Markov decision processes, and dynamic programming, the book provides an in-depth review of the classical RL techniques, such as Monte Carlo methods and temporal-difference learning. After that, you will learn about deep Q-learning, policy gradient algorithms, actor-critic methods, model-based methods, and multi-agent reinforcement learning. Then, you'll be introduced to some of the key approaches behind the most successful RL implementations, such as domain randomization and curiosity-driven learning. As you advance, you’ll explore many novel algorithms with advanced implementations using modern Python libraries such as TensorFlow and Ray’s RLlib package. You’ll also find out how to implement RL in areas such as robotics, supply chain management, marketing, finance, smart cities, and cybersecurity while assessing the trade-offs between different approaches and avoiding common pitfalls. By the end of this book, you’ll have mastered how to train and deploy your own RL agents for solving RL problems. What you will learnModel and solve complex sequential decision-making problems using RLDevelop a solid understanding of how state-of-the-art RL methods workUse Python and TensorFlow to code RL algorithms from scratchParallelize and scale up your RL implementations using Ray's RLlib packageGet in-depth knowledge of a wide variety of RL topicsUnderstand the trade-offs between different RL approachesDiscover and address the challenges of implementing RL in the real worldWho this book is for This book is for expert machine learning practitioners and researchers looking to focus on hands-on reinforcement learning with Python by implementing advanced deep reinforcement learning concepts in real-world projects. Reinforcement learning experts who want to advance their knowledge to tackle large-scale and complex sequential decision-making problems will also find this book useful. Working knowledge of Python programming and deep learning along with prior experience in reinforcement learning is required.