Learn Ai Assisted Python Programming Second Edition
DOWNLOAD
Download Learn Ai Assisted Python Programming Second Edition PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Learn Ai Assisted Python Programming Second Edition book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
Learn Ai Assisted Python Programming Second Edition
DOWNLOAD
Author : Leo Porter
language : en
Publisher: Simon and Schuster
Release Date : 2024-10-29
Learn Ai Assisted Python Programming Second Edition written by Leo Porter and has been published by Simon and Schuster this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-29 with Computers categories.
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. Foreword by Beth Simon. 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 GitHub 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 Creating an authorship identification program 12 Future directions
Learn Ai Assisted Python Programming Second Edition
DOWNLOAD
Author : Leo Porter
language : en
Publisher: Simon and Schuster
Release Date : 2024-10-29
Learn Ai Assisted Python Programming Second Edition written by Leo Porter and has been published by Simon and Schuster this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-29 with Computers categories.
See how an AI assistant can bring your ideas to life immediately!
Learn Ai Assisted Python Programming
DOWNLOAD
Author : Leo Porter
language : en
Publisher: Simon and Schuster
Release Date : 2024-01-09
Learn Ai Assisted Python Programming written by Leo Porter and has been published by Simon and Schuster this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-09 with Computers categories.
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
Tiny Css Projects
DOWNLOAD
Author : Martine Dowden
language : en
Publisher: Simon and Schuster
Release Date : 2023-07-18
Tiny Css Projects written by Martine Dowden and has been published by Simon and Schuster this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-18 with Computers categories.
In Tiny CSS Projects, you will build twelve exciting and useful web projects with CSS -- a must-know tool. This textbook teaches you how to make beautiful websites and applications by gilding you through a dozen fun coding challenges and exciting layout features, including grid and flexbox, animations, transitions, and media queries.
Algorithmic Thinking 2nd Edition
DOWNLOAD
Author : Daniel Zingaro
language : en
Publisher: No Starch Press
Release Date : 2024-01-23
Algorithmic Thinking 2nd Edition written by Daniel Zingaro and has been published by No Starch Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-23 with Computers categories.
Get in the game and learn essential computer algorithms by solving competitive programming problems, in the fully revised second edition of the bestselling original. (Still no math required!) Are you hitting a wall with data structures and algorithms? Whether you’re a student prepping for coding interviews or an independent learner, this book is your essential guide to efficient problem-solving in programming. UNLOCK THE POWER OF DATA STRUCTURES & ALGORITHMS: Learn the intricacies of hash tables, recursion, dynamic programming, trees, graphs, and heaps. Become proficient in choosing and implementing the best solutions for any coding challenge. REAL-WORLD, COMPETITION-PROVEN CODE EXAMPLES: The programs and challenges in this book aren’t just theoretical—they’re drawn from real programming competitions. Train with problems that have tested and honed the skills of coders around the world. GET INTERVIEW-READY: Prepare yourself for coding interviews with practice exercises that help you think algorithmically, weigh different solutions, and implement the best choices efficiently. WRITTEN IN C, USEFUL ACROSS LANGUAGES: The code examples are written in C and designed for clarity and accessibility to those familiar with languages like C++, Java, or Python. If you need help with the C code, no problem: We’ve got recommended reading, too. Algorithmic Thinking is the complete package, providing the solid foundation you need to elevate your coding skills to the next level.
Coding For Python Beginners
DOWNLOAD
Author : Daiki Moriyama
language : en
Publisher: Richa Publishing Minds
Release Date :
Coding For Python Beginners written by Daiki Moriyama and has been published by Richa Publishing Minds this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
Learn Python the right way—with clarity, judgment, and modern tools. Most beginner programming books promise speed. They rush through syntax, encourage copying, and leave readers dependent on tutorials or AI-generated answers they don’t fully understand. Coding for Python Beginners takes a different approach. This book is designed to help you think clearly about programming, understand how Python actually works, and build programs you can explain, debug, and trust—while using AI tools responsibly as learning support, not as replacements for understanding. Python is an excellent first language because it reveals structure instead of hiding it. This book uses that strength to teach programming as a skill of reasoning: how logic flows, how mistakes happen, and how to fix them with confidence. What makes this book different This is not a “learn Python fast” book. It is a thinking-first guide that prioritizes understanding over shortcuts. You will learn how to: Understand what programs do before you run them Write clear, readable Python code that makes sense later Debug errors calmly by identifying broken assumptions Use conditions, loops, functions, and data structures correctly Organize code as programs grow Apply object-oriented ideas only when they add clarity Use AI tools to explain, review, and practice—without losing control of your learning AI is treated as a supporting tool, not an authority. You will learn when it helps, when it misleads, and how to verify everything. A structured path from first code to real programs The book progresses carefully and intentionally: Core programming fundamentals explained without jargon Practical debugging and error handling from the beginning File handling, modular design, and clean structure Responsible AI-assisted learning and testing Guided projects that combine everything you’ve learned Clear guidance on how to continue learning independently Each chapter builds on the previous one, reinforcing understanding instead of overwhelming you with features. Who this book is for This book is ideal for: Beginners who want real understanding, not just working code Adult learners returning to technical skills Professionals who want a calm, structured foundation Readers using AI tools and wanting to stay in control This book is not for readers looking for instant results, shortcuts, or copied solutions. Build skills that last beyond tools and trends Programming languages change. Tools evolve. AI improves rapidly. The ability to reason, debug, and verify does not. If you want to learn Python with clarity, confidence, and long-term value, this book is your starting point. Order now and begin building understanding that lasts.
Coding With Ai
DOWNLOAD
Author : Jeremy Morgan
language : en
Publisher: Manning
Release Date : 2025-10-28
Coding With Ai written by Jeremy Morgan and has been published by Manning this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-10-28 with Computers categories.
Practical techniques to accelerate software development using generative AI. Let’s get real. You’d like to hand off a lot of tedious software development tasks to an assistant—and now you can! AI-powered coding tools like Copilot can accelerate research, design, code creation, testing, troubleshooting, documentation, refactoring and more. Coding with AI shows you how. Written for working developers, this book fast-tracks you to AI-powered productivity with bite-size projects, tested prompts, and techniques for getting the most out of AI. In Coding with AI you’ll learn how to: • Incorporate AI tools into your development workflow • Create pro-quality documentation and tests • Debug and refactor software efficiently • Create and organize reusable prompts Coding with AI takes you through several small Python projects with the help of AI tools, showing you exactly how to use AI to create and refine real software. This book skips the baby steps and goes straight to the techniques you’ll use on the job, every day. You’ll learn to sidestep AI inefficiencies like hallucination and identify the places where AI can save you the most time and effort. Unique tips, tricks, and prompt hacks ensure you’re getting the best out of AI. About the book Coding with AI is a deep dive into AI coding tools, quickly getting you up to speed with effective code generation in a professional development environment. You’ll benefit from author Jeremy Morgan’s clear-eyed developer-to-developer approach based on his real-world experience of AI coding. Hands-on Python projects demonstrate how you can use AI to organize prompts, create documentation, debug your software, and more. About the reader For professional software developers. Examples in Python. About the author Jeremy Morgan is on a mission to help developers get better at what they do. He's a Senior Training Architect for KodeKloud and an avid tech blogger and speaker. He has two decades of experience as an engineer building software for everything from Fortune 100 companies to tiny startups. Jeremy hosts the popular tech blog, www.jeremymorgan.com. He also contributes to open source as a .NET Foundation Member, DevOps Institute Ambassador, and serves on a DevNetwork advisory board. Get a free eBook (PDF or ePub) from Manning as well as access to the online liveBook format (and its AI assistant that will answer your questions in any language) when you purchase the print book.
Artificial Intelligence Programming With Python
DOWNLOAD
Author : Perry Xiao
language : en
Publisher: John Wiley & Sons
Release Date : 2022-02-21
Artificial Intelligence Programming With Python written by Perry Xiao and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-02-21 with Computers categories.
A hands-on roadmap to using Python for artificial intelligence programming In Practical Artificial Intelligence Programming with Python: From Zero to Hero, veteran educator and photophysicist Dr. Perry Xiao delivers a thorough introduction to one of the most exciting areas of computer science in modern history. The book demystifies artificial intelligence and teaches readers its fundamentals from scratch in simple and plain language and with illustrative code examples. Divided into three parts, the author explains artificial intelligence generally, machine learning, and deep learning. It tackles a wide variety of useful topics, from classification and regression in machine learning to generative adversarial networks. He also includes: Fulsome introductions to MATLAB, Python, AI, machine learning, and deep learning Expansive discussions on supervised and unsupervised machine learning, as well as semi-supervised learning Practical AI and Python “cheat sheet” quick references This hands-on AI programming guide is perfect for anyone with a basic knowledge of programming—including familiarity with variables, arrays, loops, if-else statements, and file input and output—who seeks to understand foundational concepts in AI and AI development.
Artificial Intelligence With Python
DOWNLOAD
Author : Alberto Artasanchez
language : en
Publisher: Packt Publishing Ltd
Release Date : 2020-01-31
Artificial Intelligence With Python written by Alberto Artasanchez and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-01-31 with Computers categories.
New edition of the bestselling guide to artificial intelligence with Python, updated to Python 3.x, with seven new chapters that cover RNNs, AI and Big Data, fundamental use cases, chatbots, and more. Key FeaturesCompletely updated and revised to Python 3.xNew chapters for AI on the cloud, recurrent neural networks, deep learning models, and feature selection and engineeringLearn more about deep learning algorithms, machine learning data pipelines, and chatbotsBook Description Artificial Intelligence with Python, Second Edition is an updated and expanded version of the bestselling guide to artificial intelligence using the latest version of Python 3.x. Not only does it provide you an introduction to artificial intelligence, this new edition goes further by giving you the tools you need to explore the amazing world of intelligent apps and create your own applications. This edition also includes seven new chapters on more advanced concepts of Artificial Intelligence, including fundamental use cases of AI; machine learning data pipelines; feature selection and feature engineering; AI on the cloud; the basics of chatbots; RNNs and DL models; and AI and Big Data. Finally, this new edition explores various real-world scenarios and teaches you how to apply relevant AI algorithms to a wide swath of problems, starting with the most basic AI concepts and progressively building from there to solve more difficult challenges so that by the end, you will have gained a solid understanding of, and when best to use, these many artificial intelligence techniques. What you will learnUnderstand what artificial intelligence, machine learning, and data science areExplore the most common artificial intelligence use casesLearn how to build a machine learning pipelineAssimilate the basics of feature selection and feature engineeringIdentify the differences between supervised and unsupervised learningDiscover the most recent advances and tools offered for AI development in the cloudDevelop automatic speech recognition systems and chatbotsApply AI algorithms to time series dataWho this book is for The intended audience for this book is Python developers who want to build real-world Artificial Intelligence applications. Basic Python programming experience and awareness of machine learning concepts and techniques is mandatory.
Artificial Intelligence With Python Second Edition
DOWNLOAD
Author : Alberto Artasanchez
language : en
Publisher:
Release Date : 2020
Artificial Intelligence With Python Second Edition written by Alberto Artasanchez and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with categories.
New edition of the bestselling guide to artificial intelligence with Python, updated to Python 3.x and TensorFlow 2, with seven new chapters that cover RNNs, AI & Big Data, fundamental use cases, chatbots, and more. Key Features Completely updated and revised to Python 3.x and TensorFlow 2 New chapters for AI on the cloud, recurrent neural networks, deep learning models, and feature selection and engineering Learn more about deep learning algorithms, machine learning data pipelines, and chatbots Book Description Artificial Intelligence with Python, Second Edition is an updated and expanded version of the bestselling guide to artificial intelligence using the latest version of Python 3.x and TensorFlow 2. Not only does it provide you an introduction to artificial intelligence, this new edition goes further by giving you the tools you need to explore the amazing world of intelligent apps and create your own applications. This edition also includes seven new chapters on more advanced concepts of Artificial Intelligence, including fundamental use cases of AI; machine learning data pipelines; feature selection and feature engineering; AI on the cloud; the basics of chatbots; RNNs and DL models; and AI and Big Data. Finally, this new edition explores various real-world scenarios and teaches you how to apply relevant AI algorithms to a wide swath of problems, starting with the most basic AI concepts and progressively building from there to solve more difficult challenges so that by the end, you will have gained a solid understanding of, and when best to use, these many artificial intelligence techniques. What you will learn Understand what artificial intelligence, machine learning, and data science are Explore the most common artificial intelligence use cases Learn how to build a machine learning pipeline Assimilate the basics of feature selection and feature engineering Identify the differences between supervised and unsupervised learning Discover the most recent advances and tools offered for AI development in the cloud Develop automatic speech recognition systems and chatbots Apply AI algorithms to time series data Who this book is for The intended audience for this book is Python developers who want to build real-world Artificial Intelligence applications. Basic Python programming experience and awareness of machine learning concepts and techniques is mandatory.