Download or read book Programming with GitHub Copilot written by Kurt Dowswell and published by John Wiley & Sons. This book was released on 2024-06-27 with total page 434 pages. Available in PDF, EPUB and Kindle. Book excerpt: Accelerate your programming with the most popular AI coding tool on the market: GitHub Copilot In Programming with GitHub Copilot: Write Better Code — Faster, veteran software developer and GitHub community hero Kurt Dowswell delivers an insightful and hands-on exploration of GitHub's powerful, new AI coding assistant, Copilot. In the book, you'll discover how to use the tool's capabilities to push the boundaries of what you thought was possible in programming. Even if you've used autocomplete tools—like VS Code's TabNine extension—before, you'll be floored by GitHub Copilot's potential to transform the way you code. You'll learn how to install, configure, and use the software, from employing it's most common and widely used features to deploying business and enterprise functionality. You'll even discover how to fix runtime and compilation bugs and write unit, integration, and end-to-end tests. You'll also find: Prompt strategies to get GitHub Copilot to help you brainstorm new code solutions What the future looks like for AI-assisted coding, including discussions of issues like code licensing and ethics Directions for chatting with Copilot, including common commands and prompts to help you guide the conversation to where you want it to go Perfect for practicing programmers, developers, and software engineers, Programming with GitHub Copilot is also an essential resource for coders and other IT practitioners-in-training who want to expand their knowledge and improve the scope and depth of their programming skillsets.
Download or read book Use GitHub Copilot written by Rizèl Scarlett and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Using GitHub Copilot can feel like magic. The tool automatically fills out entire blocks of code--but knowing exactly how to leverage it requires true skill. Github Copilot Shortcuts taps into the experience of some of the greatest programming experts of our time to share tips for overcoming pitfalls and integrating Copilot into your software development practices to use it to its fullest potential. Each shortcut can be read in just a few minutes, but can save hours of searching for the right answers. Written by experts for intelligent, advanced users, one shortcut takes a focused look at one practice or technique that can transform how you work. If you want to effectively use Copilot you'll find the technical edge you're looking for in Github Copilot Shortcuts.
Download or read book Github Copilot For Developers written by Rob Botwright and published by Rob Botwright. This book was released on 101-01-01 with total page 233 pages. Available in PDF, EPUB and Kindle. Book excerpt: 🚀 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.
Download or read book Use GitHub Copilot to Learn Syntax for a New Framework Or Programming Language written by Rizèl Scarlett and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Using GitHub Copilot can feel like magic. The tool automatically fills out entire blocks of code--but knowing exactly how to leverage it requires true skill. Github Copilot Shortcuts taps into the experience of some of the greatest programming experts of our time to share tips for overcoming pitfalls and integrating Copilot into your software development practices to use it to its fullest potential. Each shortcut can be read in just a few minutes, but can save hours of searching for the right answers. Written by experts for intelligent, advanced users, one shortcut takes a focused look at one practice or technique that can transform how you work. If you want to effectively use Copilot you'll find the technical edge you're looking for in Github Copilot Shortcuts.
Download or read book Use Github Copilot for Prompt Engineering written by Rìzel Scarlett and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Using GitHub Copilot can feel like magic. The tool automatically fills out entire blocks of code--but knowing exactly how to leverage it requires true skill. Github Copilot Shortcuts taps into the experience of some of the greatest programming experts of our time to share tips for overcoming pitfalls and integrating Copilot into your software development practices to use it to its fullest potential. Each shortcut can be read in just a few minutes, but can save hours of searching for the right answers. Written by experts for intelligent, advanced users, one shortcut takes a focused look at one practice or technique that can transform how you work. If you want to effectively use Copilot you'll find the technical edge you're looking for in Github Copilot Shortcuts.
Download or read book Deep Learning and the Game of Go written by Kevin Ferguson and published by Simon and Schuster. This book was released on 2019-01-06 with total page 611 pages. Available in PDF, EPUB and Kindle. Book excerpt: Summary Deep Learning and the Game of Go teaches you how to apply the power of deep learning to complex reasoning tasks by building a Go-playing AI. After exposing you to the foundations of machine and deep learning, you'll use Python to build a bot and then teach it the rules of the game. Foreword by Thore Graepel, DeepMind Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology The ancient strategy game of Go is an incredible case study for AI. In 2016, a deep learning-based system shocked the Go world by defeating a world champion. Shortly after that, the upgraded AlphaGo Zero crushed the original bot by using deep reinforcement learning to master the game. Now, you can learn those same deep learning techniques by building your own Go bot! About the Book Deep Learning and the Game of Go introduces deep learning by teaching you to build a Go-winning bot. As you progress, you'll apply increasingly complex training techniques and strategies using the Python deep learning library Keras. You'll enjoy watching your bot master the game of Go, and along the way, you'll discover how to apply your new deep learning skills to a wide range of other scenarios! What's inside Build and teach a self-improving game AI Enhance classical game AI systems with deep learning Implement neural networks for deep learning About the Reader All you need are basic Python skills and high school-level math. No deep learning experience required. About the Author Max Pumperla and Kevin Ferguson are experienced deep learning specialists skilled in distributed systems and data science. Together, Max and Kevin built the open source bot BetaGo. Table of Contents PART 1 - FOUNDATIONS Toward deep learning: a machine-learning introduction Go as a machine-learning problem Implementing your first Go bot PART 2 - MACHINE LEARNING AND GAME AI Playing games with tree search Getting started with neural networks Designing a neural network for Go data Learning from data: a deep-learning bot Deploying bots in the wild Learning by practice: reinforcement learning Reinforcement learning with policy gradients Reinforcement learning with value methods Reinforcement learning with actor-critic methods PART 3 - GREATER THAN THE SUM OF ITS PARTS AlphaGo: Bringing it all together AlphaGo Zero: Integrating tree search with reinforcement learning
Download or read book Structure and Interpretation of Computer Programs written by Harold Abelson and published by MIT Press. This book was released on 2022-05-03 with total page 642 pages. Available in PDF, EPUB and Kindle. Book excerpt: A new version of the classic and widely used text adapted for the JavaScript programming language. Since the publication of its first edition in 1984 and its second edition in 1996, Structure and Interpretation of Computer Programs (SICP) has influenced computer science curricula around the world. Widely adopted as a textbook, the book has its origins in a popular entry-level computer science course taught by Harold Abelson and Gerald Jay Sussman at MIT. SICP introduces the reader to central ideas of computation by establishing a series of mental models for computation. Earlier editions used the programming language Scheme in their program examples. This new version of the second edition has been adapted for JavaScript. The first three chapters of SICP cover programming concepts that are common to all modern high-level programming languages. Chapters four and five, which used Scheme to formulate language processors for Scheme, required significant revision. Chapter four offers new material, in particular an introduction to the notion of program parsing. The evaluator and compiler in chapter five introduce a subtle stack discipline to support return statements (a prominent feature of statement-oriented languages) without sacrificing tail recursion. The JavaScript programs included in the book run in any implementation of the language that complies with the ECMAScript 2020 specification, using the JavaScript package sicp provided by the MIT Press website.
Download or read book Use GitHub Copilot Chat to Better Understand Generated Code written by Rizel Scarlett and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Using GitHub Copilot can feel like magic. The tool automatically fills out entire blocks of code--but knowing exactly how to leverage it requires true skill. Github Copilot Shortcuts taps into the experience of some of the greatest programming experts of our time to share tips for overcoming pitfalls and integrating Copilot into your software development practices to use it to its fullest potential. Each shortcut can be read in just a few minutes, but can save hours of searching for the right answers. Written by experts for intelligent, advanced users, one shortcut takes a focused look at one practice or technique that can transform how you work. If you want to effectively use Copilot you'll find the technical edge you're looking for in Github Copilot Shortcuts.
Download or read book Use GitHub Copilot to Send a Tweet written by Rizèl Scarlett and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Using GitHub Copilot can feel like magic. The tool automatically fills out entire blocks of code—but knowing exactly how to leverage it requires true skill. Github Copilot Shortcuts taps into the experience of some of the greatest programming experts of our time to share tips for overcoming pitfalls and integrating Copilot into your software development practices to use it to its fullest potential. Each shortcut can be read in just a few minutes, but can save hours of searching for the right answers. Written by experts for intelligent, advanced users, one shortcut takes a focused look at one practice or technique that can transform how you work. If you want to effectively use Copilot you’ll find the technical edge you’re looking for in Github Copilot Shortcuts.
Download or read book Use GitHub Copilot to Match the Style Conventions of a Repository written by Leonardo Montini and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Using GitHub Copilot can feel like magic. The tool automatically fills out entire blocks of code--but knowing exactly how to leverage it requires true skill. Github Copilot Shortcuts taps into the experience of some of the greatest programming experts of our time to share tips for overcoming pitfalls and integrating Copilot into your software development practices to use it to its fullest potential. Each shortcut can be read in just a few minutes, but can save hours of searching for the right answers. Written by experts for intelligent, advanced users, one shortcut takes a focused look at one practice or technique that can transform how you work. If you want to effectively use Copilot you'll find the technical edge you're looking for in Github Copilot Shortcuts.
Download or read book Use GitHub Copilot Chat to Style Test and Explain Your UI written by Rizèl Scarlett and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Using GitHub Copilot can feel like magic. The tool automatically fills out entire blocks of code--but knowing exactly how to leverage it requires true skill. Github Copilot Shortcuts taps into the experience of some of the greatest programming experts of our time to share tips for overcoming pitfalls and integrating Copilot into your software development practices to use it to its fullest potential. Each shortcut can be read in just a few minutes, but can save hours of searching for the right answers. Written by experts for intelligent, advanced users, one shortcut takes a focused look at one practice or technique that can transform how you work. If you want to effectively use Copilot you'll find the technical edge you're looking for in Github Copilot Shortcuts.
Download or read book Use GitHub Copilot to Build a Rock Paper Scissors Game written by Rizèl Scarlett and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Using GitHub Copilot can feel like magic. The tool automatically fills out entire blocks of code--but knowing exactly how to leverage it requires true skill. Github Copilot Shortcuts taps into the experience of some of the greatest programming experts of our time to share tips for overcoming pitfalls and integrating Copilot into your software development practices to use it to its fullest potential. Each shortcut can be read in just a few minutes, but can save hours of searching for the right answers. Written by experts for intelligent, advanced users, one shortcut takes a focused look at one practice or technique that can transform how you work. If you want to effectively use Copilot you'll find the technical edge you're looking for in Github Copilot Shortcuts.
Download or read book Machine Learning with PyTorch and Scikit Learn written by Sebastian Raschka and published by Packt Publishing Ltd. This book was released on 2022-02-25 with total page 775 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book of the bestselling and widely acclaimed Python Machine Learning series is a comprehensive guide to machine and deep learning using PyTorch s simple to code framework. Purchase of the print or Kindle book includes a free eBook in PDF format. Key Features Learn applied machine learning with a solid foundation in theory Clear, intuitive explanations take you deep into the theory and practice of Python machine learning Fully updated and expanded to cover PyTorch, transformers, XGBoost, graph neural networks, and best practices Book DescriptionMachine Learning with PyTorch and Scikit-Learn is a comprehensive guide to machine learning and deep learning with PyTorch. It acts as both a step-by-step tutorial and a reference you'll keep coming back to as you build your machine learning systems. Packed with clear explanations, visualizations, and examples, the book covers all the essential machine learning techniques in depth. While some books teach you only to follow instructions, with this machine learning book, we teach the principles allowing you to build models and applications for yourself. Why PyTorch? PyTorch is the Pythonic way to learn machine learning, making it easier to learn and simpler to code with. This book explains the essential parts of PyTorch and how to create models using popular libraries, such as PyTorch Lightning and PyTorch Geometric. You will also learn about generative adversarial networks (GANs) for generating new data and training intelligent agents with reinforcement learning. Finally, this new edition is expanded to cover the latest trends in deep learning, including graph neural networks and large-scale transformers used for natural language processing (NLP). This PyTorch book is your companion to machine learning with Python, whether you're a Python developer new to machine learning or want to deepen your knowledge of the latest developments.What you will learn Explore frameworks, models, and techniques for machines to learn from data Use scikit-learn for machine learning and PyTorch for deep learning Train machine learning classifiers on images, text, and more Build and train neural networks, transformers, and boosting algorithms Discover best practices for evaluating and tuning models Predict continuous target outcomes using regression analysis Dig deeper into textual and social media data using sentiment analysis Who this book is for If you have a good grasp of Python basics and want to start learning about machine learning and deep learning, then this is the book for you. This is an essential resource written for developers and data scientists who want to create practical machine learning and deep learning applications using scikit-learn and PyTorch. Before you get started with this book, you’ll need a good understanding of calculus, as well as linear algebra.
Download or read book Hands On Machine Learning with Scikit Learn Keras and TensorFlow written by Aurélien Géron and published by "O'Reilly Media, Inc.". This book was released on 2019-09-05 with total page 851 pages. Available in PDF, EPUB and Kindle. Book excerpt: Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This practical book shows you how. By using concrete examples, minimal theory, and two production-ready Python frameworks—Scikit-Learn and TensorFlow—author Aurélien Géron helps you gain an intuitive understanding of the concepts and tools for building intelligent systems. You’ll learn a range of techniques, starting with simple linear regression and progressing to deep neural networks. With exercises in each chapter to help you apply what you’ve learned, all you need is programming experience to get started. Explore the machine learning landscape, particularly neural nets Use Scikit-Learn to track an example machine-learning project end-to-end Explore several training models, including support vector machines, decision trees, random forests, and ensemble methods Use the TensorFlow library to build and train neural nets Dive into neural net architectures, including convolutional nets, recurrent nets, and deep reinforcement learning Learn techniques for training and scaling deep neural nets
Download or read book Use GitHub Copilot to Promote Deep Learning written by Rizèl Scarlett and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Using GitHub Copilot can feel like magic. The tool automatically fills out entire blocks of code--but knowing exactly how to leverage it requires true skill. Github Copilot Shortcuts taps into the experience of some of the greatest programming experts of our time to share tips for overcoming pitfalls and integrating Copilot into your software development practices to use it to its fullest potential. Each shortcut can be read in just a few minutes, but can save hours of searching for the right answers. Written by experts for intelligent, advanced users, one shortcut takes a focused look at one practice or technique that can transform how you work. If you want to effectively use Copilot you'll find the technical edge you're looking for in Github Copilot Shortcuts.
Download or read book Deep Learning with PyTorch written by Luca Pietro Giovanni Antiga and published by Simon and Schuster. This book was released on 2020-07-01 with total page 518 pages. Available in PDF, EPUB and Kindle. Book excerpt: “We finally have the definitive treatise on PyTorch! It covers the basics and abstractions in great detail. I hope this book becomes your extended reference document.” —Soumith Chintala, co-creator of PyTorch Key Features Written by PyTorch’s creator and key contributors Develop deep learning models in a familiar Pythonic way Use PyTorch to build an image classifier for cancer detection Diagnose problems with your neural network and improve training with data augmentation Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About The Book Every other day we hear about new ways to put deep learning to good use: improved medical imaging, accurate credit card fraud detection, long range weather forecasting, and more. PyTorch puts these superpowers in your hands. Instantly familiar to anyone who knows Python data tools like NumPy and Scikit-learn, PyTorch simplifies deep learning without sacrificing advanced features. It’s great for building quick models, and it scales smoothly from laptop to enterprise. Deep Learning with PyTorch teaches you to create deep learning and neural network systems with PyTorch. This practical book gets you to work right away building a tumor image classifier from scratch. After covering the basics, you’ll learn best practices for the entire deep learning pipeline, tackling advanced projects as your PyTorch skills become more sophisticated. All code samples are easy to explore in downloadable Jupyter notebooks. What You Will Learn Understanding deep learning data structures such as tensors and neural networks Best practices for the PyTorch Tensor API, loading data in Python, and visualizing results Implementing modules and loss functions Utilizing pretrained models from PyTorch Hub Methods for training networks with limited inputs Sifting through unreliable results to diagnose and fix problems in your neural network Improve your results with augmented data, better model architecture, and fine tuning This Book Is Written For For Python programmers with an interest in machine learning. No experience with PyTorch or other deep learning frameworks is required. About The Authors Eli Stevens has worked in Silicon Valley for the past 15 years as a software engineer, and the past 7 years as Chief Technical Officer of a startup making medical device software. Luca Antiga is co-founder and CEO of an AI engineering company located in Bergamo, Italy, and a regular contributor to PyTorch. Thomas Viehmann is a Machine Learning and PyTorch speciality trainer and consultant based in Munich, Germany and a PyTorch core developer. Table of Contents PART 1 - CORE PYTORCH 1 Introducing deep learning and the PyTorch Library 2 Pretrained networks 3 It starts with a tensor 4 Real-world data representation using tensors 5 The mechanics of learning 6 Using a neural network to fit the data 7 Telling birds from airplanes: Learning from images 8 Using convolutions to generalize PART 2 - LEARNING FROM IMAGES IN THE REAL WORLD: EARLY DETECTION OF LUNG CANCER 9 Using PyTorch to fight cancer 10 Combining data sources into a unified dataset 11 Training a classification model to detect suspected tumors 12 Improving training with metrics and augmentation 13 Using segmentation to find suspected nodules 14 End-to-end nodule analysis, and where to go next PART 3 - DEPLOYMENT 15 Deploying to production
Download or read book The Rust Programming Language Covers Rust 2018 written by Steve Klabnik and published by No Starch Press. This book was released on 2019-09-03 with total page 561 pages. Available in PDF, EPUB and Kindle. Book excerpt: The official book on the Rust programming language, written by the Rust development team at the Mozilla Foundation, fully updated for Rust 2018. The Rust Programming Language is the official book on Rust: an open source systems programming language that helps you write faster, more reliable software. Rust offers control over low-level details (such as memory usage) in combination with high-level ergonomics, eliminating the hassle traditionally associated with low-level languages. The authors of The Rust Programming Language, members of the Rust Core Team, share their knowledge and experience to show you how to take full advantage of Rust's features--from installation to creating robust and scalable programs. You'll begin with basics like creating functions, choosing data types, and binding variables and then move on to more advanced concepts, such as: Ownership and borrowing, lifetimes, and traits Using Rust's memory safety guarantees to build fast, safe programs Testing, error handling, and effective refactoring Generics, smart pointers, multithreading, trait objects, and advanced pattern matching Using Cargo, Rust's built-in package manager, to build, test, and document your code and manage dependencies How best to use Rust's advanced compiler with compiler-led programming techniques You'll find plenty of code examples throughout the book, as well as three chapters dedicated to building complete projects to test your learning: a number guessing game, a Rust implementation of a command line tool, and a multithreaded server. New to this edition: An extended section on Rust macros, an expanded chapter on modules, and appendixes on Rust development tools and editions.
