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| ask github copilot questions: Programming with GitHub Copilot Kurt Dowswell, 2024-06-27 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. |
| ask github copilot questions: Structure and Interpretation of Computer Programs Harold Abelson, Gerald Jay Sussman, 2022-05-03 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. |
| ask github copilot questions: Learn AI-assisted Python Programming Leo Porter, 2024-01-09 Writing computer programs in Python just got a lot easier! Use AI-assisted coding tools like GitHub Copilot and ChatGPT to turn your ideas into applications faster than ever. AI has changed the way we write computer programs. With tools like Copilot and ChatGPT, you can describe what you want in plain English, and watch your AI assistant generate the code right before your eyes. It’s perfect for beginners, or anyone who’s struggled with the steep learning curve of traditional programming. In Learn AI-Assisted Python Programming: With GitHub Copilot and ChatGPT you’ll learn how to: Write fun and useful Python applications—no programming experience required! Use the Copilot AI coding assistant to create Python programs Write prompts that tell Copilot exactly what to do Read Python code and understand what it does Test your programs to make sure they work the way you want them to Fix code with prompt engineering or human tweaks Apply Python creatively to help out on the job Learn AI-Assisted Python Programming: With GitHub Copilot and ChatGPT is a hands-on beginner’s guide that is written by two esteemed computer science university professors. It teaches you everything you need to start programming Python in an AI-first world. You’ll hit the ground running, writing prompts that tell your AI-assistant exactly what you want your programs to do. Along the way, you’ll pick up the essentials of Python programming and practice the higher-level thinking you’ll need to create working apps for data analysis, automating tedious tasks, and even video games. Foreword by Beth Simon, Ph.D. About the technology The way people write computer programs has changed forever. Using GitHub Copilot, you describe in plain English what you want your program to do, and the AI generates it instantly. About the book This book shows you how to create and improve Python programs using AI—even if you’ve never written a line of computer code before. Spend less time on the slow, low-level programming details and instead learn how an AI assistant can bring your ideas to life immediately. As you go, you’ll even learn enough of the Python language to understand and improve what your AI assistant creates. What's inside Prompts for working code Tweak code manually and with AI help AI-test your programs Let AI handle tedious details About the reader If you can move files around on your computer and install new programs, you can learn to write useful software! About the author Dr. Leo Porter is a Teaching Professor at UC San Diego. Dr. Daniel Zingaro is an Associate Teaching Professor at the University of Toronto. The technical editor on this book was Peter Morgan. Table of Contents 1 Introducing AI-assisted programming with Copilot 2 Getting started with Copilot 3 Designing functions 4 Reading Python code – Part 1 5 Reading Python Code – Part 2 6 Testing and prompt engineering 7 Problem decomposition 8 Debugging and better understanding your code 9 Automating tedious tasks 10 Making some games 11 Future directions |
| ask github copilot questions: Learn AI-Assisted Python Programming, Second Edition Leo Porter, Daniel Zingaro, 2024-10-29 See how an AI assistant can bring your ideas to life immediately! Once, to be a programmer you had to write every line of code yourself. Now tools like GitHub Copilot can instantly generate working programs based on your description in plain English. An instant bestseller, Learn AI-Assisted Python Programming has taught thousands of aspiring programmers how to write Python the easy way--with the help of AI. It's perfect for beginners, or anyone who's struggled with the steep learning curve of traditional programming. In Learn AI-Assisted Python Programming, Second Edition you'll learn how to: - Write fun and useful Python applications--no programming experience required! - Use the GitHub Copilot AI coding assistant to create Python programs - Write prompts that tell Copilot exactly what to do - Read Python code and understand what it does - Test your programs to make sure they work the way you want them to - Fix code with prompt engineering or human tweaks - Apply Python creatively to help out on the job AI moves fast, and so the new edition of Learn AI-Assisted Python Programming, Second Edition is fully updated to take advantage of the latest models and AI coding tools. Written by two esteemed computer science university professors, it teaches you everything you need to start programming Python in an AI-first world. You'll learn skills you can use to create working apps for data analysis, automating tedious tasks, and even video games. Plus, in this new edition, you'll find groundbreaking techniques for breaking down big software projects into smaller tasks AI can easily achieve. Purchase of the print book includes a free eBook in PDF and ePub formats from Manning Publications. About the technology AI has changed the way we write computer programs forever. You describe in plain English what you want your program to do, and AI coding assistants like Github Copilot can generate the code for you instantly! If you can use a web browser and move files around on your computer, you can create useful software. This book shows you how. About the book Learn AI-Assisted Python Programming, Second Edition teaches you how to create your own games, tools, and other simple applications using Copilot and the user-friendly Python language. You'll be amazed how quickly you can go from an idea to a working program! Authors Leo Porter and Dan Zingaro guide you step by step as you go from creating simple functions, like a small program that tells you if a password is strong enough, to writing games and tools that help you automate tedious tasks. As you go, you'll learn just enough Python to understand and improve what Copilot creates. About the reader No experience required! About the author Dr. Leo Porter is a Teaching Professor at UC San Diego. Dr. Daniel Zingaro is an Associate Teaching Professor at the University of Toronto. The technical editor on this book was Peter Morgan. |
| ask github copilot questions: R Markdown Yihui Xie, J.J. Allaire, Garrett Grolemund, 2018-07-27 R Markdown: The Definitive Guide is the first official book authored by the core R Markdown developers that provides a comprehensive and accurate reference to the R Markdown ecosystem. With R Markdown, you can easily create reproducible data analysis reports, presentations, dashboards, interactive applications, books, dissertations, websites, and journal articles, while enjoying the simplicity of Markdown and the great power of R and other languages. In this book, you will learn Basics: Syntax of Markdown and R code chunks, how to generate figures and tables, and how to use other computing languages Built-in output formats of R Markdown: PDF/HTML/Word/RTF/Markdown documents and ioslides/Slidy/Beamer/PowerPoint presentations Extensions and applications: Dashboards, Tufte handouts, xaringan/reveal.js presentations, websites, books, journal articles, and interactive tutorials Advanced topics: Parameterized reports, HTML widgets, document templates, custom output formats, and Shiny documents. Yihui Xie is a software engineer at RStudio. He has authored and co-authored several R packages, including knitr, rmarkdown, bookdown, blogdown, shiny, xaringan, and animation. He has published three other books, Dynamic Documents with R and knitr, bookdown: Authoring Books and Technical Documents with R Markdown, and blogdown: Creating Websites with R Markdown. J.J. Allaire is the founder of RStudio and the creator of the RStudio IDE. He is an author of several packages in the R Markdown ecosystem including rmarkdown, flexdashboard, learnr, and radix. Garrett Grolemund is the co-author of R for Data Science and author of Hands-On Programming with R. He wrote the lubridate R package and works for RStudio as an advocate who trains engineers to do data science with R and the Tidyverse. |
| ask github copilot questions: To Mock a Mockingbird Raymond M. Smullyan, 2000 The author of Forever Undecided, Raymond Smullyan continues to delight and astonish us with his gift for making available, in the thoroughly pleasurable form of puzzles, some of the most important mathematical thinking of our time. |
| ask github copilot questions: AI Strategies For Web Development Anderson Soares Furtado Oliveira, 2024-09-30 From fundamental to advanced strategies, unlock useful insights for creating innovative, user-centric websites while navigating the evolving landscape of AI ethics and security Key Features Explore AI's role in web development, from shaping projects to architecting solutions Master advanced AI strategies to build cutting-edge applications Anticipate future trends by exploring next-gen development environments, emerging interfaces, and security considerations in AI web development Purchase of the print or Kindle book includes a free PDF eBook Book Description If you're a web developer looking to leverage the power of AI in your projects, then this book is for you. Written by an AI and ML expert with more than 15 years of experience, AI Strategies for Web Development takes you on a transformative journey through the dynamic intersection of AI and web development, offering a hands-on learning experience.The first part of the book focuses on uncovering the profound impact of AI on web projects, exploring fundamental concepts, and navigating popular frameworks and tools. As you progress, you'll learn how to build smart AI applications with design intelligence, personalized user journeys, and coding assistants. Later, you'll explore how to future-proof your web development projects using advanced AI strategies and understand AI's impact on jobs. Toward the end, you'll immerse yourself in AI-augmented development, crafting intelligent web applications and navigating the ethical landscape.Packed with insights into next-gen development environments, AI-augmented practices, emerging realities, interfaces, and security governance, this web development book acts as your roadmap to staying ahead in the AI and web development domain. What you will learn Build AI-powered web projects with optimized models Personalize UX dynamically with AI, NLP, chatbots, and recommendations Explore AI coding assistants and other tools for advanced web development Craft data-driven, personalized experiences using pattern recognition Architect effective AI solutions while exploring the future of web development Build secure and ethical AI applications following TRiSM best practices Explore cutting-edge AI and web development trends Who this book is for This book is for web developers with experience in programming languages and an interest in keeping up with the latest trends in AI-powered web development. Full-stack, front-end, and back-end developers, UI/UX designers, software engineers, and web development enthusiasts will also find valuable information and practical guidelines for developing smarter websites with AI. To get the most out of this book, it is recommended that you have basic knowledge of programming languages such as HTML, CSS, and JavaScript, as well as a familiarity with machine learning concepts. |
| ask github copilot questions: Prompt Engineering for LLMs John Berryman, Albert Ziegler, 2024-11-04 Large language models (LLMs) are revolutionizing the world, promising to automate tasks and solve complex problems. A new generation of software applications are using these models as building blocks to unlock new potential in almost every domain, but reliably accessing these capabilities requires new skills. This book will teach you the art and science of prompt engineering-the key to unlocking the true potential of LLMs. Industry experts John Berryman and Albert Ziegler share how to communicate effectively with AI, transforming your ideas into a language model-friendly format. By learning both the philosophical foundation and practical techniques, you'll be equipped with the knowledge and confidence to build the next generation of LLM-powered applications. Understand LLM architecture and learn how to best interact with itDesign a complete prompt-crafting strategy for an applicationGather, triage, and present context elements to make an efficient promptMaster specific prompt-crafting techniques like few-shot learning, chain-of-thought prompting, and RAG |
| ask github copilot questions: Cracking the Data Science Interview Maverick Lin, 2019-12-17 Cracking the Data Science Interview is the first book that attempts to capture the essence of data science in a concise, compact, and clean manner. In a Cracking the Coding Interview style, Cracking the Data Science Interview first introduces the relevant concepts, then presents a series of interview questions to help you solidify your understanding and prepare you for your next interview. Topics include: - Necessary Prerequisites (statistics, probability, linear algebra, and computer science) - 18 Big Ideas in Data Science (such as Occam's Razor, Overfitting, Bias/Variance Tradeoff, Cloud Computing, and Curse of Dimensionality) - Data Wrangling (exploratory data analysis, feature engineering, data cleaning and visualization) - Machine Learning Models (such as k-NN, random forests, boosting, neural networks, k-means clustering, PCA, and more) - Reinforcement Learning (Q-Learning and Deep Q-Learning) - Non-Machine Learning Tools (graph theory, ARIMA, linear programming) - Case Studies (a look at what data science means at companies like Amazon and Uber) Maverick holds a bachelor's degree from the College of Engineering at Cornell University in operations research and information engineering (ORIE) and a minor in computer science. He is the author of the popular Data Science Cheatsheet and Data Engineering Cheatsheet on GCP and has previous experience in data science consulting for a Fortune 500 company focusing on fraud analytics. |
| ask github copilot questions: R Markdown Cookbook Yihui Xie, Christophe Dervieux, Emily Riederer, 2020-10-21 This new book written by the developers of R Markdown is an essential reference that will help users learn and make full use of the software. Those new to R Markdown will appreciate the short, practical examples that address the most common issues users encounter. Frequent users will also benefit from the wide ranging tips and tricks that expose ‘hidden’ features, support customization and demonstrate the many new and varied applications of the software. After reading this book users will learn how to: Enhance your R Markdown content with diagrams, citations, and dynamically generated text Streamline your workflow with child documents, code chunk references, and caching Control the formatting and layout with Pandoc markdown syntax or by writing custom HTML and LaTeX templates Utilize chunk options and hooks to fine-tune how your code is processed Switch between different language engineers to seamlessly incorporate python, D3, and more into your analysis |
| ask github copilot questions: Github Copilot For Developers Rob Botwright, 101-01-01 🚀 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. |
| ask github copilot questions: GitHub for Next-Generation Coders Igor Irić, 2024-07-31 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. |
| ask github copilot questions: Getting Started with Azure OpenAI Shimon Ifrah, |
| ask github copilot questions: Developing Apps with GPT-4 and ChatGPT Olivier Caelen, Marie-Alice Blete, 2023-08-29 This minibook is a comprehensive guide for Python developers who want to learn how to build applications with large language models. Authors Olivier Caelen and Marie-Alice Blete cover the main features and benefits of GPT-4 and ChatGPT and explain how they work. You'll also get a step-by-step guide for developing applications using the GPT-4 and ChatGPT Python library, including text generation, Q&A, and content summarization tools. Written in clear and concise language, Developing Apps with GPT-4 and ChatGPT includes easy-to-follow examples to help you understand and apply the concepts to your projects. Python code examples are available in a GitHub repository, and the book includes a glossary of key terms. Ready to harness the power of large language models in your applications? This book is a must. You'll learn: The fundamentals and benefits of ChatGPT and GPT-4 and how they work How to integrate these models into Python-based applications for NLP tasks How to develop applications using GPT-4 or ChatGPT APIs in Python for text generation, question answering, and content summarization, among other tasks Advanced GPT topics including prompt engineering, fine-tuning models for specific tasks, plug-ins, LangChain, and more |
| ask github copilot questions: AI-Assisted Programming for Web and Machine Learning Christoffer Noring, Anjali Jain, Marina Fernandez, Ayşe Mutlu, Ajit Jaokar, 2024-08-30 Speed up your development processes and improve your productivity by writing practical and relevant prompts to build web applications and Machine Learning (ML) models Purchase of the print or Kindle book includes a free PDF copy Key Features Utilize prompts to enhance frontend and backend web development Develop prompt strategies to build robust machine learning models Use GitHub Copilot for data exploration, maintaining existing code bases, and augmenting ML models into web applications Book DescriptionAI-Assisted Programming for Web and Machine Learning shows you how to build applications and machine learning models and automate repetitive tasks. Part 1 focuses on coding, from building a user interface to the backend. You’ll use prompts to create the appearance of an app using HTML, styling with CSS, adding behavior with JavaScript, and working with multiple viewports. Next, you’ll build a web API with Python and Flask and refactor the code to improve code readability. Part 1 ends with using GitHub Copilot to improve the maintainability and performance of existing code. Part 2 provides a prompting toolkit for data science from data checking (inspecting data and creating distribution graphs and correlation matrices) to building and optimizing a neural network. You’ll use different prompt strategies for data preprocessing, feature engineering, model selection, training, hyperparameter optimization, and model evaluation for various machine learning models and use cases. The book closes with chapters on advanced techniques on GitHub Copilot and software agents. There are tips on code generation, debugging, and troubleshooting code. You’ll see how simpler and AI-powered agents work and discover tool calling.What you will learn Speed up your coding and machine learning workflows with GitHub Copilot and ChatGPT Use an AI-assisted approach across the development lifecycle Implement prompt engineering techniques in the data science lifecycle Develop the frontend and backend of a web application with AI assistance Build machine learning models with GitHub Copilot and ChatGPT Refactor code and fix faults for better efficiency and readability Improve your codebase with rich documentation and enhanced workflows Who this book is for Experienced developers new to GitHub Copilot and ChatGPT can discover the best strategies to improve productivity and deliver projects quicker than traditional methods. This book is ideal for software engineers working on web or machine learning projects. It is also a useful resource for web developers, data scientists, and analysts who want to improve their efficiency with the help of prompting. This book does not teach web development or how different machine learning models work. |
| ask github copilot questions: Beginning C# and .NET Benjamin Perkins, Jon D. Reid, 2021-07-09 Get a running start to learning C# programming with this fun and easy-to-read guide As one of the most versatile and powerful programming languages around, you might think C# would be an intimidating language to learn. It doesn’t have to be! In Beginning C# and .NET: 2021 Edition, expert Microsoft programmer and engineer Benjamin Perkins and program manager Jon D. Reid walk you through the precise, step-by-step directions you’ll need to follow to become fluent in the C# language and .NET. Using the proven WROX method, you’ll discover how to understand and write simple expressions and functions, debug programs, work with classes and class members, work with Windows forms, program for the web, and access data. You’ll even learn about some of the new features included in the latest releases of C# and .NET, including data consumption, code simplification, and performance. The book also offers: Detailed discussions of programming basics, like variables, flow control, and object-oriented programming that assume no previous programming experience “Try it Out” sections to help you write useful programming code using the steps you’ve learned in the book Downloadable code examples from wrox.com Perfect for beginning-level programmers who are completely new to C#, Beginning C# and .NET: 2021 Edition is a must-have resource for anyone interested in learning programming and looking for a fun and intuitive place to start. |
| ask github copilot questions: Automating API Delivery Ikenna Nwaiwu, 2024-07-30 Improve speed, quality, AND cost by automating your API delivery process! Automating API Delivery shows you how to strike the perfect balance between speed and usability by applying DevOps automation principles to your API design and delivery process. In this practical book, you’ll learn how to maximize developer productivity, improve time-to-market, and clear mile-long support backlogs. In Automating API Delivery you’ll learn how to: Enforce API design standards with linting Automate breaking-change checks to control design creep Ensure accuracy of API reference documents Centralize API definition consistency checks Automate API configuration deployment Conduct effective API design reviews Purchase of the print book includes a free eBook in PDF and ePub formats from Manning Publications. About the technology You want your APIs to be consistent, secure, easy to use, and well documented. You also want them to scale and be delivered fast. The APIOps approach accelerates API delivery using a CI/CD pipeline and automates manual governance and compliance checks. You’ll soon be seeing faster, high-quality API delivery and deployment that steps up innovation and increases consistency. About the book Automating API Delivery offers practical guidance for making an APIOps transformation, including process improvement methods that give you important quick wins. You’ll discover API automation tools that speed up and streamline every stage of the development lifecycle. You’ll learn how to set up and run Spectral for API governance, check for breaking changes with oasdiff, run API checks in a CI/CD pipeline with GitHub Actions, and generate server and client code using OpenAPI Generator. Plus, you’ll learn how to ensure your documentation is always accurate with handy API conformance tests using Schemathesis and Portman. About the reader For API product owners, product managers, and developers looking to improve speed and quality. Experience building RESTful APIs required. About the author Ikenna Nwaiwu is the APIOps lead at 10x Banking. He started his career as a software engineer at ThoughtWorks and has worked at several companies, including UBS and Bank of America. He holds a BEng from the Federal University of Technology Owerri, an MSc in Software Systems Technology from the University of Sheffield, and an MBA from the Warwick Business School. |
| ask github copilot questions: AI-Assisted Programming Tom Taulli, 2024-04-10 Get practical advice on how to leverage AI development tools for all stages of code creation, including requirements, planning, design, coding, debugging, testing, and documentation. With this book, beginners and experienced developers alike will learn how to use a wide range of tools, from general-purpose LLMs (ChatGPT, Gemini, and Claude) to code-specific systems (GitHub Copilot, Tabnine, Cursor, and Amazon CodeWhisperer). You'll also learn about more specialized generative AI tools for tasks such as text-to-image creation. Author Tom Taulli provides a methodology for modular programming that aligns effectively with the way prompts create AI-generated code. This guide also describes the best ways of using general purpose LLMs to learn a programming language, explain code, or convert code from one language to another. This book examines: The core capabilities of AI-based development tools Pros, cons, and use cases of popular systems such as GitHub Copilot and Amazon CodeWhisperer Ways to use ChatGPT, Gemini, Claude, and other generic LLMs for coding Using AI development tools for the software development lifecycle, including requirements, planning, coding, debugging, and testing Prompt engineering for development Using AI-assisted programming for tedious tasks like creating regular expressions, starter code, object-oriented programming classes, and GitHub Actions How to use AI-based low-code and no-code tools, such as to create professional UIs |
| ask github copilot questions: Cracking the Coding Interview Gayle Laakmann McDowell, 2011 Now in the 5th edition, Cracking the Coding Interview gives you the interview preparation you need to get the top software developer jobs. This book provides: 150 Programming Interview Questions and Solutions: From binary trees to binary search, this list of 150 questions includes the most common and most useful questions in data structures, algorithms, and knowledge based questions. 5 Algorithm Approaches: Stop being blind-sided by tough algorithm questions, and learn these five approaches to tackle the trickiest problems. Behind the Scenes of the interview processes at Google, Amazon, Microsoft, Facebook, Yahoo, and Apple: Learn what really goes on during your interview day and how decisions get made. Ten Mistakes Candidates Make -- And How to Avoid Them: Don't lose your dream job by making these common mistakes. Learn what many candidates do wrong, and how to avoid these issues. Steps to Prepare for Behavioral and Technical Questions: Stop meandering through an endless set of questions, while missing some of the most important preparation techniques. Follow these steps to more thoroughly prepare in less time. |
| ask github copilot questions: Codermetrics Jonathan Alexander, 2011-08-02 How can you help your software team improve? This concise book introduces codermetrics, a clear and objective way to identify, analyze, and discuss the successes and failures of software engineers—not as part of a performance review, but as a way to make the team a more cohesive and productive unit. Experienced team builder Jonathan Alexander explains how codermetrics helps teams understand exactly what occurred during a project, and enables each coder to focus on specific improvements. Alexander presents a variety of simple and complex codermetrics, and teaches you how to create your own. Learn how codermetrics changes long-held assumptions and improves team dynamics Get recommendations for integrating codermetrics into existing processes Ask the right questions to determine the type of data you need to collect Use metrics to measure individual coder skills and a team’s effectiveness over time Identify the contributions each coder makes to the team Analyze the response to your software and its features—and verify that you're meeting team and organizational goals Build better teams, using codermetrics to make personnel adjustments and additions |
| ask github copilot questions: Programming for PaaS Lucas Carlson, 2013-07-31 Platform-as-a-Service (PaaS) is gaining serious traction among web and mobile developers, but as new PaaS providers emerge and existing vendors upgrade their features, it’s hard to keep track of what PaaS has to offer. This thorough introduction takes you through the PaaS model from a developer’s point of view, and breaks down the types of services that Google App Engine, Windows Azure, Heroku, Cloud Foundry, and others deliver. Whether you’re an entrepreneur or part of a large enterprise development team, this book shows you how PaaS can help you focus on innovative applications, rather than spend your time worrying about technical operations. Track the cloud’s evolution from IaaS and DevOps to PaaS Learn how PaaS combines the simplicity of shared web hosting with the control of dedicated hosting Explore the benefits of both portable and non-portable PaaS options Apply best practices for moving legacy apps to PaaS—and understand the challenges involved Write new applications for PaaS from scratch with RESTful meta-services Use PaaS to build mobile apps with backend services that scale Examine the core services that each major provider currently offers Learn the situations in which PaaS might not be advantageous |
| ask github copilot questions: Ultimate Microservices with RabbitMQ Peter Morlion, 2024-05-28 TAGLINE Learn the ins and outs of a RabbitMQ-enabled microservices system. KEY FEATURES ● Discover the fundamental principles of microservices and their organizational impact. ● Develop a deep understanding of messaging and RabbitMQ within microservices architecture. ● Acquire the expertise to seamlessly integrate and maximize the benefits of microservices with RabbitMQ for creating of robust and high-performing systems. DESCRIPTION Embark on a transformative journey into the world of microservices architecture with 'Ultimate Microservices with RabbitMQ' This comprehensive resource equips you with the knowledge and tools needed to design, deploy, and manage scalable microservices architectures using RabbitMQ as a messaging backbone. From laying the groundwork with foundational concepts to implementing advanced techniques, this book covers everything you need to know to build resilient and high-performing microservices-based systems. It dives into the intricacies of RabbitMQ messaging to leverage its capabilities to facilitate communication and data exchange across distributed systems. You will discover best practices for designing scalable and fault-tolerant microservices architectures, and gain insights into effective integration strategies. The book will help you learn to combine microservices and RabbitMQ for designing, building and maintaining robust architectures that leverage the strengths of both paradigms. By the end of this book, you will be primed to navigate the complexities of modern software development with confidence, driving innovation and efficiency in professional endeavors. WHAT WILL YOU LEARN ● Gain a solid understanding of microservices fundamentals and their organizational impact. ● Explore various messaging paradigms and their application within RabbitMQ. ● Implement RabbitMQ as a message broker within your microservices architecture. ● Understand the prerequisites for maintaining a resilient microservices setup with RabbitMQ. ● Explore upcoming trends in message-driven microservices architectures. WHO IS THIS BOOK FOR? This book is tailored for software developers, architects, and engineering managers intrigued by microservices and messaging with RabbitMQ. Whether you're an entry-level developer or a seasoned architect, this book offers valuable insights and guidance to help you grasp the fundamental concepts and practical considerations essential for navigating the complexities of microservices with RabbitMQ. TABLE OF CONTENTS 1. An Introduction to Microservices 2. A Deeper Look Into Microservices 3. An Introduction to RabbitMQ 4. RabbitMQ Use Cases 5. Designing a Microservices Architecture With RabbitMQ 6. Running A Microservices Architecture With RabbitMQ 7. The Future of Microservices 8. The Future of RabbitMQ Index |
| ask github copilot questions: Code Like a Pro in C# Jort Rodenburg, 2021-07-27 Critical business applications worldwide are written in the versatile C# language and the powerful .NET platform, running on desktops, cloud systems, and Windows or Linux servers. Code Like a Pro in C# makes it easy to turn your existing abilities in C# or another OO language (such as Java) into practical C# mastery. |
| ask github copilot questions: Advanced Swift Chris Eidhof, Airspeed Velocity, 2016-03-18 Advanced Swift takes you through Swift's features, from low-level programming to high-level abstractions. In this book, we'll write about advanced concepts in Swift programming. If you have read the Swift Programming Guide, and want to explore more, this book is for you. Swift is a great language for systems programming, but also lends itself for very high-level programming. We'll explore both high-level topics (for example, programming with generics and protocols), as well as low-level topics (for example, wrapping a C library and string internals). |
| ask github copilot questions: Algorithmic Thinking Daniel Zingaro, 2020-12-15 A hands-on, problem-based introduction to building algorithms and data structures to solve problems with a computer. Algorithmic Thinking will teach you how to solve challenging programming problems and design your own algorithms. Daniel Zingaro, a master teacher, draws his examples from world-class programming competitions like USACO and IOI. You'll learn how to classify problems, choose data structures, and identify appropriate algorithms. You'll also learn how your choice of data structure, whether a hash table, heap, or tree, can affect runtime and speed up your algorithms; and how to adopt powerful strategies like recursion, dynamic programming, and binary search to solve challenging problems. Line-by-line breakdowns of the code will teach you how to use algorithms and data structures like: The breadth-first search algorithm to find the optimal way to play a board game or find the best way to translate a book Dijkstra's algorithm to determine how many mice can exit a maze or the number of fastest routes between two locations The union-find data structure to answer questions about connections in a social network or determine who are friends or enemies The heap data structure to determine the amount of money given away in a promotion The hash-table data structure to determine whether snowflakes are unique or identify compound words in a dictionary NOTE: Each problem in this book is available on a programming-judge website. You'll find the site's URL and problem ID in the description. What's better than a free correctness check? |
| ask github copilot questions: The Rust Programming Language (Covers Rust 2018) Steve Klabnik, Carol Nichols, 2019-09-03 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. |
| ask github copilot questions: Apple Game Frameworks and Technologies Tammy Coron, 2021-05-11 Design and develop sophisticated 2D games that are as much fun to make as they are to play. From particle effects and pathfinding to social integration and monetization, this complete tour of Apple's powerful suite of game technologies covers it all. Familiar with Swift but new to game development? No problem. Start with the basics and then layer in the complexity as you work your way through three exciting - and fully playable - games. In the end, you'll know everything you need to go off and create your own video game masterpiece for any Apple platform. Discover the power of Apple Game Frameworks, Xcode, and Swift by building three exciting games: Gloop Drop - a new twist on a classic arcade game, Val's Revenge - a roguelike dungeon crawler, and Hog - a social player vs. player mobile dice game. With Apple Game Frameworks, you can create high-performance, power-efficient games that work across all Apple platforms, including iOS, macOS, tvOS, and watchOS. In this book, you'll discover how to... Design and develop rich 2D gaming experiences using Apple's built-in game frameworks. Harness the power of SpriteKit using Xcode and Swift to create engaging player experiences. Use the visual Scene Editor to build complete scenes. Unleash the power of the Particle Editor to create amazing effects. Use GameplayKit to add advanced features to your games like pathfinding, artificial intelligence, and complex rule systems. Build larger, more complex worlds with tile maps and Xcode's visual Tile Map editor. Bring people together using GameKit and Game Center, Apple's social gaming network. Increase revenue with third-party banner ads and rewarded ads using Google AdMob (tm). Monetize your games with StoreKit and in-app purchases. So, grab your gear and get your game on - it's time to level up your skills. What You Need: macOS Mojave 10.14.6 or newer Xcode 11.3 or newer Basic knowledge of Swift 5.1.4 or newer |
| ask github copilot questions: Natural Language Processing with Python Steven Bird, Ewan Klein, Edward Loper, 2009-06-12 This book offers a highly accessible introduction to natural language processing, the field that supports a variety of language technologies, from predictive text and email filtering to automatic summarization and translation. With it, you'll learn how to write Python programs that work with large collections of unstructured text. You'll access richly annotated datasets using a comprehensive range of linguistic data structures, and you'll understand the main algorithms for analyzing the content and structure of written communication. Packed with examples and exercises, Natural Language Processing with Python will help you: Extract information from unstructured text, either to guess the topic or identify named entities Analyze linguistic structure in text, including parsing and semantic analysis Access popular linguistic databases, including WordNet and treebanks Integrate techniques drawn from fields as diverse as linguistics and artificial intelligence This book will help you gain practical skills in natural language processing using the Python programming language and the Natural Language Toolkit (NLTK) open source library. If you're interested in developing web applications, analyzing multilingual news sources, or documenting endangered languages -- or if you're simply curious to have a programmer's perspective on how human language works -- you'll find Natural Language Processing with Python both fascinating and immensely useful. |
| ask github copilot questions: AI engineering productivity cookbook , 2024-10-09 Unleash the potential of AI in software engineering for higher productivity and reduced time-to-market Realize the power of AI-assisted engineering for your business needs with our comprehensive AI Engineering Productivity Cookbook, designed for Engineering, Product, and Innovation teams. Based on Intellias 4-month AI Copilot Implementation program, our experts will guide you through integrating AI coding tools into your development processes, optimizing your workflow, and driving innovation. This playbook is your essential companion, whether you are leading a digital-native startup or navigating the digital transformation of a traditional enterprise. Explore how to effectively fuse AI into your software development lifecycle: From AI Theory to Practice Bridge the gap between AI’s potential and practical implementation strategies to accelerate your projects and address the challenges of technology evolution. AI-Assisted Engineering Learn how AI tools can automate routine coding tasks, improve code quality, and reduce time to market, all aimed at scaling development efforts without sacrificing quality. Advanced AI Features Discover advanced AI functionality that can predict development challenges, suggest optimizations, and personalize development strategies to fit your specific needs. Collaborative Development with AI Learn how AI can promote better interoperability among your development team, making remote and hybrid work environments more efficient and connected. Ethical Considerations and Security Practices Make sure your AI implementations maintain high security standards and adhere to regulatory requirements as well as ethical considerations, essential for preserving trust and integrity in your software. Building AI Products from Business and User Perspectives Align AI product development with business objectives and user expectations to create solutions that not only perform well but also deliver but also deliver on the promise of enhanced customer satisfaction and engagement. The Future of AI in Software Development Stay informed about the future trends of AI in the tech industry and prepare your team for upcoming innovations and shifts in the software development paradigm. |
| ask github copilot questions: Generative AI Martin Musiol, 2023-01-08 An engaging and essential discussion of generative artificial intelligence In Generative AI: Navigating the Course to the Artificial General Intelligence Future, celebrated author Martin Musiol—founder and CEO of generativeAI.net and GenAI Lead for Europe at Infosys—delivers an incisive and one-of-a-kind discussion of the current capabilities, future potential, and inner workings of generative artificial intelligence. In the book, you'll explore the short but eventful history of generative artificial intelligence, what it's achieved so far, and how it's likely to evolve in the future. You'll also get a peek at how emerging technologies are converging to create exciting new possibilities in the GenAI space. Musiol analyzes complex and foundational topics in generative AI, breaking them down into straightforward and easy-to-understand pieces. You'll also find: Bold predictions about the future emergence of Artificial General Intelligence via the merging of current AI models Fascinating explorations of the ethical implications of AI, its potential downsides, and the possible rewards Insightful commentary on Autonomous AI Agents and how AI assistants will become integral to daily life in professional and private contexts Perfect for anyone interested in the intersection of ethics, technology, business, and society—and for entrepreneurs looking to take advantage of this tech revolution—Generative AI offers an intuitive, comprehensive discussion of this fascinating new technology. |
| ask github copilot questions: Head Rush Ajax Brett McLaughlin, 2006-03-28 Provides information on using Ajax in building Web applications. |
| ask github copilot questions: Build a Career in Data Science Emily Robinson, Jacqueline Nolis, 2020-03-24 Summary You are going to need more than technical knowledge to succeed as a data scientist. Build a Career in Data Science teaches you what school leaves out, from how to land your first job to the lifecycle of a data science project, and even how to become a manager. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology What are the keys to a data scientist’s long-term success? Blending your technical know-how with the right “soft skills” turns out to be a central ingredient of a rewarding career. About the book Build a Career in Data Science is your guide to landing your first data science job and developing into a valued senior employee. By following clear and simple instructions, you’ll learn to craft an amazing resume and ace your interviews. In this demanding, rapidly changing field, it can be challenging to keep projects on track, adapt to company needs, and manage tricky stakeholders. You’ll love the insights on how to handle expectations, deal with failures, and plan your career path in the stories from seasoned data scientists included in the book. What's inside Creating a portfolio of data science projects Assessing and negotiating an offer Leaving gracefully and moving up the ladder Interviews with professional data scientists About the reader For readers who want to begin or advance a data science career. About the author Emily Robinson is a data scientist at Warby Parker. Jacqueline Nolis is a data science consultant and mentor. Table of Contents: PART 1 - GETTING STARTED WITH DATA SCIENCE 1. What is data science? 2. Data science companies 3. Getting the skills 4. Building a portfolio PART 2 - FINDING YOUR DATA SCIENCE JOB 5. The search: Identifying the right job for you 6. The application: Résumés and cover letters 7. The interview: What to expect and how to handle it 8. The offer: Knowing what to accept PART 3 - SETTLING INTO DATA SCIENCE 9. The first months on the job 10. Making an effective analysis 11. Deploying a model into production 12. Working with stakeholders PART 4 - GROWING IN YOUR DATA SCIENCE ROLE 13. When your data science project fails 14. Joining the data science community 15. Leaving your job gracefully 16. Moving up the ladder |
| ask github copilot questions: C# in Depth Jonathan Skeet, 2019-03-07 Effective techniques and experienced insights to maximize your C# 6 and 7 programming skills Key Features Written by C# legend and top StackOverflow contributor Jon Skeet Unlock the new features of C# 6 and 7 Insights on the future of the C# language Master asynchronous functions, interpolated strings, tuples, and more Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. ”An excellent overview of C# with helpful and realistic examples that make learning the newest features of C# easy.” —Meredith Godar About The Book C# is the foundation of .NET development. New features added in C# 6 and 7 make it easier to take on big data applications, cloud-centric web development, and cross-platform software using .NET Core. Packed with deep insight from C# guru Jon Skeet, this book takes you deep into concepts and features other C# books ignore. C# in Depth, Fourth Edition is an authoritative and engaging guide that reveals the full potential of the language, including the new features of C# 6 and 7. It combines deep dives into the C# language with practical techniques for enterprise development, web applications, and systems programming. As you absorb the wisdom and techniques in this book, you’ll write better code, and become an exceptional troubleshooter and problem solver. What You Will Learn Comprehensive guidance on the new features of C# 6 and 7 Important legacies and greatest hits of C# 2–5 Expression-bodied members Extended pass-by-reference functionality Writing asynchronous C# code String interpolation Composition with tuples Decomposition and pattern matching This Book Is Written For For intermediate C# developers. About The Author Jon Skeet is a senior software engineer at Google. He studied mathematics and computer science at Cambridge, is a recognized authority in Java and C#, and maintains the position of top contributor to Stack Overflow. Table of Contents 1. Survival of the sharpest 2. C# 2 3. C# 3: LINQ and everything that comes with it 4. C# 4: Improving interoperability 5. Writing asynchronous code 6. Async implementation 7. C# 5 bonus features 8. Super-sleek properties and expression-bodied members 9. Stringy features 10. A smörgåsbord of features for concise code 11. Composition using tuples 12. Deconstruction and pattern matching 13. Improving efficiency with more pass by reference 14. Concise code in C# 7 15. C# 8 and beyond PART 1 C# IN CONTEXT PART 2 C# 2–5 PART 3 C# 6 PART 4 C# 7 AND BEYOND |
| ask github copilot questions: Beginning Git and GitHub Mariot Tsitoara, 2019-11-30 Learn the fundamentals of version control through step-by-step tutorials that will teach you the ins-and-outs of Git. This book is your complete guide to how Git and GitHub work in a professional team environment. Divided into three parts – Version Control, Project Management and Teamwork – this book reveals what waits for you in the real world and how to resolve the problems you may run into. Once past the basics of Git, you'll see how to manage a software project, and finally how to utilize Git and GithHub to work effectively as a team. You'll examine how to plan, follow and execute a project with GitHub, and then apply those concepts to real-world situations. Workaround the pitfalls that most programmers fall into when driving a project with Git by using proven tactics to avoid them. You will also be taught the easiest and quickest ways to resolve merge conflicts. A lot of modern books on Git don’t go into depth about non-technical topics. Beginning Git and GitHub will help you cover all the bases right at the start of your career. What You'll Learn Review basic and advanced concepts of GitApply Project Management skills using GitHub Solve conflicts or, ideally, avoid them altogetherUse advanced concepts for a more boosted workflow Who This book Is For New developers, developers that have never worked in a team environment before, developers with basic knowledge of Git or GitHub, or anyone who works with text documents. |
| ask github copilot questions: Coders at Work Peter Seibel, 2009-12-21 Peter Seibel interviews 15 of the most interesting computer programmers alive today in Coders at Work, offering a companion volume to Apress’s highly acclaimed best-seller Founders at Work by Jessica Livingston. As the words “at work” suggest, Peter Seibel focuses on how his interviewees tackle the day-to-day work of programming, while revealing much more, like how they became great programmers, how they recognize programming talent in others, and what kinds of problems they find most interesting. Hundreds of people have suggested names of programmers to interview on the Coders at Work web site: www.codersatwork.com. The complete list was 284 names. Having digested everyone’s feedback, we selected 15 folks who’ve been kind enough to agree to be interviewed: Frances Allen: Pioneer in optimizing compilers, first woman to win the Turing Award (2006) and first female IBM fellow Joe Armstrong: Inventor of Erlang Joshua Bloch: Author of the Java collections framework, now at Google Bernie Cosell: One of the main software guys behind the original ARPANET IMPs and a master debugger Douglas Crockford: JSON founder, JavaScript architect at Yahoo! L. Peter Deutsch: Author of Ghostscript, implementer of Smalltalk-80 at Xerox PARC and Lisp 1.5 on PDP-1 Brendan Eich: Inventor of JavaScript, CTO of the Mozilla Corporation Brad Fitzpatrick: Writer of LiveJournal, OpenID, memcached, and Perlbal Dan Ingalls: Smalltalk implementor and designer Simon Peyton Jones: Coinventor of Haskell and lead designer of Glasgow Haskell Compiler Donald Knuth: Author of The Art of Computer Programming and creator of TeX Peter Norvig: Director of Research at Google and author of the standard text on AI Guy Steele: Coinventor of Scheme and part of the Common Lisp Gang of Five, currently working on Fortress Ken Thompson: Inventor of UNIX Jamie Zawinski: Author of XEmacs and early Netscape/Mozilla hacker |
| ask github copilot questions: Think Complexity Allen B. Downey, 2012-02-23 Expand your Python skills by working with data structures and algorithms in a refreshing context—through an eye-opening exploration of complexity science. Whether you’re an intermediate-level Python programmer or a student of computational modeling, you’ll delve into examples of complex systems through a series of exercises, case studies, and easy-to-understand explanations. You’ll work with graphs, algorithm analysis, scale-free networks, and cellular automata, using advanced features that make Python such a powerful language. Ideal as a text for courses on Python programming and algorithms, Think Complexity will also help self-learners gain valuable experience with topics and ideas they might not encounter otherwise. Work with NumPy arrays and SciPy methods, basic signal processing and Fast Fourier Transform, and hash tables Study abstract models of complex physical systems, including power laws, fractals and pink noise, and Turing machines Get starter code and solutions to help you re-implement and extend original experiments in complexity Explore the philosophy of science, including the nature of scientific laws, theory choice, realism and instrumentalism, and other topics Examine case studies of complex systems submitted by students and readers |
| ask github copilot questions: Modern C++ Design Andrei Alexandrescu, 2001 This title documents a convergence of programming techniques - generic programming, template metaprogramming, object-oriented programming and design patterns. It describes the C++ techniques used in generic programming and implements a number of industrial strength components. |
| ask github copilot questions: Holub on Patterns Allen Holub, 2004-09-27 * Allen Holub is a highly regarded instructor for the University of California, Berkeley, Extension. He has taught since 1982 on various topics, including Object-Oriented Analysis and Design, Java, C++, C. Holub will use this book in his Berkeley Extension classes. * Holub is a regular presenter at the Software Development conferences and is Contributing Editor for the online magazine JavaWorld, for whom he writes the Java Toolbox. He also wrote the OO Design Process column for IBM DeveloperWorks. * This book is not time-sensitive. It is an extremely well-thought out approach to learning design patterns, with Java as the example platform, but the concepts presented are not limited to just Java programmers. This is a complement to the Addison-Wesley seminal Design Patterns book by the Gang of Four. |
| ask github copilot questions: Ringworld's Children Larry Niven, 2007-04-01 Welcome to a world like no other. The Ringworld: a landmark engineering achievement, a flat band 3 million times the surface area of Earth, encircling a distant star. Home to trillions of inhabitants, not all of which are human, and host to amazing technological wonders, the Ringworld is unique in all of the universe. Explorere Louis Wu, an Earth-born human who was part of the first expedition to Ringworld, becomes enmeshed in interplanetary and interspecies intrigue as war, and a powerful new weapon, threaten to tear the Ringworld apart forever. Now, the future of Ringworld lies in the actions of its children: Tunesmith, the Ghould protector; Acolyte, the exiled son of Speaker-to-Animals, and Wembleth, a strange Ringworld native with a mysterious past. All must play a dangerous in order to save Ringworld's population, and the stability of Ringworld itself. Blending awe-inspiring science with non-stop action and fun, Ringworld's Children, the fourth installment of the multiple award-winning saga, is the perfect introduction for readers new to this New York Times bestselling series, and long-time fans of Larry Niven's Ringworld. At the Publisher's request, this title is being sold without Digital Rights Management Software (DRM) applied. |
| ask github copilot questions: Building LLM Powered Applications Valentina Alto, 2024-05-22 Get hands-on with GPT 3.5, GPT 4, LangChain, Llama 2, Falcon LLM and more, to build LLM-powered sophisticated AI applications Key Features Embed LLMs into real-world applications Use LangChain to orchestrate LLMs and their components within applications Grasp basic and advanced techniques of prompt engineering Book DescriptionBuilding LLM Powered Applications delves into the fundamental concepts, cutting-edge technologies, and practical applications that LLMs offer, ultimately paving the way for the emergence of large foundation models (LFMs) that extend the boundaries of AI capabilities. The book begins with an in-depth introduction to LLMs. We then explore various mainstream architectural frameworks, including both proprietary models (GPT 3.5/4) and open-source models (Falcon LLM), and analyze their unique strengths and differences. Moving ahead, with a focus on the Python-based, lightweight framework called LangChain, we guide you through the process of creating intelligent agents capable of retrieving information from unstructured data and engaging with structured data using LLMs and powerful toolkits. Furthermore, the book ventures into the realm of LFMs, which transcend language modeling to encompass various AI tasks and modalities, such as vision and audio. Whether you are a seasoned AI expert or a newcomer to the field, this book is your roadmap to unlock the full potential of LLMs and forge a new era of intelligent machines.What you will learn Explore the core components of LLM architecture, including encoder-decoder blocks and embeddings Understand the unique features of LLMs like GPT-3.5/4, Llama 2, and Falcon LLM Use AI orchestrators like LangChain, with Streamlit for the frontend Get familiar with LLM components such as memory, prompts, and tools Learn how to use non-parametric knowledge and vector databases Understand the implications of LFMs for AI research and industry applications Customize your LLMs with fine tuning Learn about the ethical implications of LLM-powered applications Who this book is for Software engineers and data scientists who want hands-on guidance for applying LLMs to build applications. The book will also appeal to technical leaders, students, and researchers interested in applied LLM topics. We don’t assume previous experience with LLM specifically. But readers should have core ML/software engineering fundamentals to understand and apply the content. |
Ask.com - What's Your Question?
Answers you want. Content for days. What more could you Ask for?
Ask.com - Wikipedia
Ask.com (known originally as Ask Jeeves) is an answer engine [1] and former web search engine [2], operated by Ask Media Group. It was conceptualized and developed in 1996 by Garrett …
Answers - The Most Trusted Place for Answering Life's Questions
Dec 26, 2007 · Answers is the place to go to get the answers you need and to ask the questions you want
ASK | English meaning - Cambridge Dictionary
ASK definition: 1. to put a question to someone, or to request an answer from someone: 2. to consider something…. Learn more.
A place to share knowledge and better understand the world
Quora is a place to gain and share knowledge. It's a platform to ask questions and connect with people who contribute unique insights and quality answers. This empowers people to learn …
Ask Home Page
Ask brings together the most comprehensive collection of search tools available to provide you with the information you need when you need it
ASK - Definition & Meaning - Reverso English Dictionary
Ask definition: request information from someone. Check meanings, examples, usage tips, pronunciation, domains, and related words. Discover expressions like "ask for", "ask a …
What does ASK mean? - Definitions.net
ask, v.t. to seek: to request, inquire, beg, question, invite.—v.i. to request: to make inquiry (with about and for—as to ask one after or for another). [A.S. áscian , ácsian ; Ger. heischen , Ice. …
ask - definition and meaning - Wordnik
To inquire concerning; seek to be informed about: as, to ask the way; to ask a question. To invite: as, to ask guests to a wedding or entertainment. and Ask, Inquire, Question, Interrogate.
Ask and Answer - ASKfm
Find out what people want to know about you. Ask questions and get answers on any topic!
Ask.com - What's Your Question?
Answers you want. Content for days. What more could you Ask for?
Ask.com - Wikipedia
Ask.com (known originally as Ask Jeeves) is an answer engine [1] and former web search engine [2], operated by Ask Media Group. It was conceptualized and developed in 1996 by Garrett …
Answers - The Most Trusted Place for Answering Life's Questions
Dec 26, 2007 · Answers is the place to go to get the answers you need and to ask the questions you want
ASK | English meaning - Cambridge Dictionary
ASK definition: 1. to put a question to someone, or to request an answer from someone: 2. to consider something…. Learn more.
A place to share knowledge and better understand the world
Quora is a place to gain and share knowledge. It's a platform to ask questions and connect with people who contribute unique insights and quality answers. This empowers people to learn …
Ask Home Page
Ask brings together the most comprehensive collection of search tools available to provide you with the information you need when you need it
ASK - Definition & Meaning - Reverso English Dictionary
Ask definition: request information from someone. Check meanings, examples, usage tips, pronunciation, domains, and related words. Discover expressions like "ask for", "ask a …
What does ASK mean? - Definitions.net
ask, v.t. to seek: to request, inquire, beg, question, invite.—v.i. to request: to make inquiry (with about and for—as to ask one after or for another). [A.S. áscian , ácsian ; Ger. heischen , Ice. …
ask - definition and meaning - Wordnik
To inquire concerning; seek to be informed about: as, to ask the way; to ask a question. To invite: as, to ask guests to a wedding or entertainment. and Ask, Inquire, Question, Interrogate.
Ask and Answer - ASKfm
Find out what people want to know about you. Ask questions and get answers on any topic!
