[PDF] Learn Ai Assisted Python Programming Second Edition eBook

Author : Leo Porter
Publisher : Manning
Page : 0 pages
File Size : 23,68 MB
Release : 2024-10-29
Category : Computers
ISBN : 9781633435995

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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 simple functions, like a small program that tells you if a password is strong enough, to complete games, like Bogart and Wordle. 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.

Author : Leo Porter
Publisher : Simon and Schuster
Page : 461 pages
File Size : 23,94 MB
Release : 2024-01-09
Category : Computers
ISBN : 1638353859

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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

Author : Leo Porter
Publisher : Simon and Schuster
Page : 294 pages
File Size : 40,29 MB
Release : 2023-11-21
Category : Computers
ISBN : 1633437787

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Writing computer programs in Python just got a lot easier! Use AI-assisted tools like GitHub Copilot to go from idea to application faster than you can say "ChatGPT." In Learn AI-Assisted Python Programming: With 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 Copilot and ChatGPT is a beginner's guide that embraces AI as the future of coding. AI-assisted coding tools like GitHub Copilot and ChatGPT empower you to create useful Python applications without learning all the low-level details of a programming language. You'll hit the ground running as you write 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 science, automation, and even video games. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology 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. About the book Learn AI-Assisted Python Programming: With Copilot and ChatGPT teaches you to code the AI way. Instead of starting with slow, low-level details, you'll learn how to bring your ideas to life immediately using AI-generated code. You'll practice the new essentials, like prompt engineering, code reading, and AI-assisted testing and program design. As you go, you'll absorb the basics of Python programming so you can understand and improve your programs. You'll quickly write small-but-useful Python programs for data visualization, automation, and more. Absolutely no programming experience required! About the reader If you can move files around on your computer and open a web browser, you can learn to write Python programs with this book! About the author Dr. Leo Porter is an Associate Teaching Professor of computer science at UC San Diego. He has over a decade of teaching experience and is well-known for his award-winning research on effective pedagogies and assessments in computer science. Dr. Daniel Zingaro is an Associate Teaching Professor of computer science and award-winning teacher at the University of Toronto. His main area of research is computer science education research, where he studies how students learn computer science material.

Author : Alberto Artasanchez
Publisher : Packt Publishing Ltd
Page : 619 pages
File Size : 14,44 MB
Release : 2020-01-31
Category : Computers
ISBN : 1839216077

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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.

Author : Gaurav Leekha
Publisher : BPB Publications
Page : 270 pages
File Size : 47,15 MB
Release : 2021-10-19
Category : Computers
ISBN : 939139261X

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Build AI applications using Python to intelligently interact with the world around you. KEY FEATURES ● Covers the practical aspects of Machine Learning and Deep Learning concepts with the help of this example-rich guide to Python. ● Includes graphical illustrations of Natural Language Processing and its implementation in NLTK. ● Covers deep learning models such as R-CNN and YOLO for object recognition and teaches how to build an image classifier using CNN. DESCRIPTION The book ‘Learn AI with Python’ is intended to provide you with a thorough understanding of artificial intelligence as well as the tools necessary to create your intelligent applications. This book introduces you to artificial intelligence and walks you through the process of establishing an AI environment on a variety of platforms. It dives into machine learning models and various predictive modeling techniques, including classification, regression, and clustering. Additionally, it provides hands-on experience with logic programming, ASR, neural networks, and natural language processing through real-world examples and fully functional Python implementation. Finally, the book deals with profound models of learning such as R-CNN and YOLO. Object detection in images is also explained in detail using Convolutional Neural Networks (CNNs), which are also explained. By the end of this book, you will have a firm grasp of machine learning and deep learning techniques, as well as a steered methodology for formulating and solving related problems. WHAT YOU WILL LEARN ● Learn to implement various machine learning and deep learning algorithms to achieve smart results. ● Understand how ML algorithms can be applied to real-life applications. ● Explore logic programming and learn how to use it practically to solve real-life problems. ● Learn to develop different types of artificial neural networks with Python. ● Understand reinforcement learning and how to build an environment and agents using Python. ● Work with NLTK and build an automatic speech recognition system. WHO THIS BOOK IS FOR This book is for anyone interested in learning about artificial intelligence and putting it into practice with Python. This book is also valuable for intermediate Machine Learning practitioners as a reference guide. Readers should be familiar with the fundamental understanding of Python programming and machine learning techniques. TABLE OF CONTENTS 1. Introduction to AI and Python 2. Machine Learning and Its Algorithms 3. Classification and Regression Using Supervised Learning 4. Clustering Using Unsupervised Learning 5. Solving Problems with Logic Programming 6. Natural Language Processing with Python 7. Implementing Speech Recognition with Python 8. Implementing Artificial Neural Network (ANN) with Python 9. Implementing Reinforcement Learning with Python 10. Implementing Deep Learning and Convolutional Neural Network

Author : Daniel Zingaro
Publisher : No Starch Press
Page : 409 pages
File Size : 10,61 MB
Release : 2020-12-15
Category : Computers
ISBN : 1718500807

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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?

Author : John Whitington
Publisher : Simon and Schuster
Page : 174 pages
File Size : 31,60 MB
Release : 2024-06-06
Category : Computers
ISBN : 1638354383

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Learn about computer science by exploring the fascinating journey it took to make this book! How Computers Make Books introduces what’s wonderful about computer science by showing how computers have transformed the art of publishing books. Author and publishing software developer John Whitington reveals the elegant computer science solutions invented to solve big publishing challenges. In How Computers Make Books you’ll discover: How human descriptions are translated into computer programs How a computer can understand document formatting How a program decides where to print ink on a page Why computer science is so interesting to computer scientists, and why it might interest you …and much more! How do computers represent all the different languages and letters used by humans? How do we compress a book’s worth of complex information so it can be transferred in seconds? And what exactly is a computer program? This book answers all those questions by telling the story of how it was created! About the technology Computers are part of every step in creating a book, from capturing the author’s words as a digital document to controlling how the ink gets onto the paper. How Computers Make Books introduces basic computer science concepts like file formatting, transfer, and storage, computer programming, and task automation by guiding you through the modern digital printing process. About the book This book takes you on a journey from the plain white page, weaving through typesetting, making gray images from black ink, electronic file formats, and more. It makes computer science come alive as you see how every word, illustration, and page has its own story. You’ll even learn to write your own simple programs and discover hands-on what’s so intoxicating about computer science. What's inside How human descriptions are translated into computer programs How a digital computer thinks about print documents How a program decides where to print ink on a page How the history of typesetting shows up in modern books About the reader For the curious-but-clueless about computer science—and anyone interested in how computers make books! About the author John Whitington is the founder of a company that builds software for electronic document processing. He has studied and taught Computer Science at Queens’ College, Cambridge. Technical editor on this book was Bojan Stojanovic. Table of Contents 1 Putting marks on paper 2 Letter forms 3 Storing words 4 Looking and finding 5 Typing it in 6 Saving space 7 The sums behind the screen 8 Gray areas 9 A typeface 10 Words to paragraphs 11 Out into the world

Author : John C. Shovic
Publisher : John Wiley & Sons
Page : 711 pages
File Size : 45,62 MB
Release : 2024-04-09
Category : Computers
ISBN : 1394236158

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Everything you need to know to get into Python coding, with 7 books in one Python All-in-One For Dummies is your one-stop source for answers to all your Python questions. From creating apps to building complex web sites to sorting big data, Python provides a way to get the work done. This book is great as a starting point for those new to coding, and it also makes a perfect reference for experienced coders looking for more than the basics. Apply your Python skills to data analysis, learn to write AI-assisted code using GitHub CoPilot, and discover many more exciting uses for this top programming language. Get started coding in Python—even if you’re new to computer programming Reference all the essentials and the latest updates, so your code is air-tight Learn how Python can be a solution for large-scale projects and big datasets Accelerate your career path with this comprehensive guide to learning Python Experienced and would-be coders alike will love this easy-to-follow guide to learning and applying Python.

Author : John C. Shovic
Publisher : John Wiley & Sons
Page : 711 pages
File Size : 10,4 MB
Release : 2024-03-07
Category : Computers
ISBN : 1394236166

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Everything you need to know to get into Python coding, with 7 books in one Python All-in-One For Dummies is your one-stop source for answers to all your Python questions. From creating apps to building complex web sites to sorting big data, Python provides a way to get the work done. This book is great as a starting point for those new to coding, and it also makes a perfect reference for experienced coders looking for more than the basics. Apply your Python skills to data analysis, learn to write AI-assisted code using GitHub CoPilot, and discover many more exciting uses for this top programming language. Get started coding in Python—even if you’re new to computer programming Reference all the essentials and the latest updates, so your code is air-tight Learn how Python can be a solution for large-scale projects and big datasets Accelerate your career path with this comprehensive guide to learning Python Experienced and would-be coders alike will love this easy-to-follow guide to learning and applying Python.

Author : John S Code
Publisher :
Page : 336 pages
File Size : 32,37 MB
Release : 2020-04-24
Category :
ISBN :

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Are you new to machine learning? Do you want to learn how to do machine learning with Python? Have you been thinking of learning Python as your first programming language?Artificial intelligent, Data analysis, Coding languages are subjects you need to start a super career today. The use of machine learning offers incredible opportunities!This ultimate book will give you the opportunity to understand coding languages and analysing big data to help the decision makers into meaningful information.Why with Python? Because Python is a powerful interpreted language and the best programming language to start with.Python is a complete language and platform where you can apply both research and development production. This book includes: Python Programming for Beginners This book can be your easy guide to understand coding language, Python programming, and data analysis with tricks and tools. It comes with 11 chapters that will teach you about python programming. Python Machine Learning It can be your essential book to know about artificial intelligence, neural network, mastering, and deep learning about the fundamentals of ML with Python. It consists of 12 chapters that will help you hone your skills and knowledge about machine learning. Improve your coding skills starting with an easy guide and master the fundamentals of machine learning with Python. You do not need any experience to change your career, just learn this book. So, what are you waiting for? Purchase yours today!