Learn Python Game Development with ChatGPT
Learn Python Game Development with ChatGPT

Author: Micheal Lanham

Publisher: BPB Publications

Published: 2024-06-07

Total Pages: 408

ISBN-13: 9355516436

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Leverage the power of AI in coding, graphics, design, and intelligence to join the next wave in game development KEY FEATURES ● Teaches the core concepts of game development for 2D, 3D, and AI games. ● Uses AI to assist and guide the reader across several facets of game development. ● Learn to create AI-controlled enemies for your games. DESCRIPTION This book is a comprehensive guide to creating interactive and engaging games, leveraging the capabilities of ChatGPT and other advanced AI technologies. The book starts with prompt engineering and system prompting, building a strong AI foundation for game development. It covers various game genres, from text adventures to 3D shooters, showing AI integration. Each chapter is designed to build on the previous one, ensuring a cohesive learning experience that gradually increases in complexity and depth. Readers will learn game development basics and creative techniques for immersive game worlds. They will use PyZork for text games and Streamlit for enhanced visuals. The book covers AI-generated assets, behavior-driven AI, and advanced topics like isometric world-building and voice-responsive games. Practical projects help readers create their unique games, while GPT agents and AI technologies showcase the future of gaming. By the end of this journey, readers will have a deep understanding of how to create innovative and engaging games using AI, positioning them at the forefront of modern game development. WHAT YOU WILL LEARN ● Master prompt engineering for building games, game assets, and AI-driven games. ● Develop engaging text-based adventures with AI-driven storytelling elements. ● Create 2D games from platformers, isometric worlds, and physics. ● Design AI opponents with behavior-driven logic and adaptive difficulty. ● Introduction to 3D first-person shooters using GPT agents. ● Implement voice recognition and text-to-speech in interactive games. WHO THIS BOOK IS FOR This book is for aspiring or experienced game developers and indie game studios interested in using generative AI to create games faster and explore new possibilities. TABLE OF CONTENTS 1. ChatGPT and the Magic of Prompt Engineering 2. Text Adventure: Entering the Enchanted Realm 3. The AI Chronicles: Text Game Evolution 4. 2D Platformer: Leap into Pixelated Fun! 5. Bot Brawls: AI Opponents Enter the Arena 6. Revving up: Cars, Ramps, and Pymunk 7. Building Isometric Worlds 8. Leveling up with GPT Agents and AutoGen 9. Building a 3D First-Person Shooter 10. Games That Respond to Your Voice 11. The Future Beckons: Developing GPT Games

Learning Python
Learning Python

Author: Mark Lutz

Publisher: "O'Reilly Media, Inc."

Published: 2013-06-12

Total Pages: 1740

ISBN-13: 1449355692

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Get a comprehensive, in-depth introduction to the core Python language with this hands-on book. Based on author Mark Lutz’s popular training course, this updated fifth edition will help you quickly write efficient, high-quality code with Python. It’s an ideal way to begin, whether you’re new to programming or a professional developer versed in other languages. Complete with quizzes, exercises, and helpful illustrations, this easy-to-follow, self-paced tutorial gets you started with both Python 2.7 and 3.3— the latest releases in the 3.X and 2.X lines—plus all other releases in common use today. You’ll also learn some advanced language features that recently have become more common in Python code. Explore Python’s major built-in object types such as numbers, lists, and dictionaries Create and process objects with Python statements, and learn Python’s general syntax model Use functions to avoid code redundancy and package code for reuse Organize statements, functions, and other tools into larger components with modules Dive into classes: Python’s object-oriented programming tool for structuring code Write large programs with Python’s exception-handling model and development tools Learn advanced Python tools, including decorators, descriptors, metaclasses, and Unicode processing

Machine Learning for Kids
Machine Learning for Kids

Author: Dale Lane

Publisher: No Starch Press

Published: 2021-01-19

Total Pages: 290

ISBN-13: 1718500572

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A hands-on, application-based introduction to machine learning and artificial intelligence (AI) that guides young readers through creating compelling AI-powered games and applications using the Scratch programming language. Machine learning (also known as ML) is one of the building blocks of AI, or artificial intelligence. AI is based on the idea that computers can learn on their own, with your help. Machine Learning for Kids will introduce you to machine learning, painlessly. With this book and its free, Scratch-based, award-winning companion website, you'll see how easy it is to add machine learning to your own projects. You don't even need to know how to code! As you work through the book you'll discover how machine learning systems can be taught to recognize text, images, numbers, and sounds, and how to train your models to improve their accuracy. You'll turn your models into fun computer games and apps, and see what happens when they get confused by bad data. You'll build 13 projects step-by-step from the ground up, including: • Rock, Paper, Scissors game that recognizes your hand shapes • An app that recommends movies based on other movies that you like • A computer character that reacts to insults and compliments • An interactive virtual assistant (like Siri or Alexa) that obeys commands • An AI version of Pac-Man, with a smart character that knows how to avoid ghosts NOTE: This book includes a Scratch tutorial for beginners, and step-by-step instructions for every project. Ages 12+

Modern Python Programming using ChatGPT
Modern Python Programming using ChatGPT

Author: Shivakumar Gopalakrishnan

Publisher: BPB Publications

Published: 2024-08-29

Total Pages: 437

ISBN-13: 936589431X

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DESCRIPTION Modern Python Programming using ChatGPT is your essential guide to leveraging Artificial Intelligence to streamline and enhance your Python development workflow across the entire software development lifecycle (SDLC). This book covers every stage, from requirements gathering and design to implementation, testing, security, deployment, and observability, demonstrating how ChatGPT can be of invaluable assistance throughout. Learn how to use ChatGPT to break down features into stories, design, and architect software, implement AI-generated code snippets, write clean and maintainable code, test and secure applications, deploy efficiently, and monitor performance. This comprehensive guide shows you how to integrate ChatGPT seamlessly into every stage of your Python projects. Discover how ChatGPT can automate repetitive tasks, generate high-quality code snippets, provide instant debugging tips, and ensure your code adheres to industry standards and best practices. This book provides thorough coverage of the latest trends and best practices in Python development, equipping you with the tools to write clean, maintainable, and robust code. Through practical examples and hands-on exercises, you will learn how to apply ChatGPT in real-world scenarios, making your development process more efficient and productive. KEY FEATURES ● Supercharge the entire SDLC using ChatGPT's AI-driven insights. ● Seamlessly integrate ChatGPT into every stage of your Python projects. ● Practical, real-world examples and hands-on exercises. WHAT YOU WILL LEARN ● To seamlessly integrate ChatGPT from coding to deployment to monitoring. ● Use ChatGPT to gather and document software requirements. ● Break down features into stories with ChatGPT assistance. ● Design, architect, and implement clean, maintainable code using AI-generated snippets. ● Test, secure, and deploy applications with AI support. ● Optimize performance and monitor software using ChatGPT. WHO THIS BOOK IS FOR This book is for Python developers of all experience levels who want to enhance their entire software development process using AI. Basic knowledge of Python is assumed, but detailed instructions are provided to help you integrate ChatGPT into your projects effectively. TABLE OF CONTENTS 1. ChatGPT and Its Capabilities 2. Benefits of Using ChatGPT in Python Development 3. Setting up ChatGPT for Python Development 4. Requirements Gathering 5. Design and Architecture 6. Implementing a Software Product 7. Pull Review and Commit Messages 8. Using ChatGPT for Coding with SOLID Principles 9. Software Testing with ChatGPT in Python 10. Deployment with ChatGPT 11. Performance and Observability 12. Revolutionary Impact of ChatGPT 13. Limitations, Pitfalls and Dangers of ChatGPT 14. Preparing for the Future with ChatGPT

Python 3 and Machine Learning Using ChatGPT/GPT-4
Python 3 and Machine Learning Using ChatGPT/GPT-4

Author: Oswald Campesato

Publisher: Walter de Gruyter GmbH & Co KG

Published: 2024-06-17

Total Pages: 285

ISBN-13: 1501520113

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This book is designed to bridge the gap between theoretical knowledge and practical application in the fields of Python programming, machine learning, and the innovative use of ChatGPT-4 in data science. The book is structured to facilitate a deep understanding of several core topics. It begins with a detailed introduction to Pandas, a cornerstone Python library for data manipulation and analysis. Next, it explores a variety of machine learning classifiers from kNN to SVMs. In later chapters, it discusses the capabilities of GPT-4, and how its application enhances traditional linear regression analysis. Finally, the book covers the innovative use of ChatGPT in data visualization. This segment focuses on how AI can transform data into compelling visual stories, making complex results accessible and understandable. It includes material on AI apps, GANs, and DALL-E. Companion files are available for downloading with code and figures from the text.

The Freedom Blueprint for a Python Developer
The Freedom Blueprint for a Python Developer

Author: Barrett Williams

Publisher: Barrett Williams

Published: 2024-08-26

Total Pages: 130

ISBN-13:

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### The Freedom Blueprint for a Python Developer Unlock the secrets to living a life of unparalleled freedom while building a successful career as a Python developer. "The Freedom Blueprint for a Python Developer" is your comprehensive guide to combining the dynamic world of Python programming with the exciting lifestyle of a digital nomad. Whether you're a seasoned coder or a beginner looking to break into the tech industry, this eBook offers a step-by-step roadmap to mastering Python and adopting a remote work lifestyle. **Chapter Highlights** - **Introduction to the Digital Nomad Lifestyle** Explore the growing digital nomad movement, uncover its benefits, and dispel common myths. - **Why Python is the Ideal Language for Digital Nomads** Dive into Python's versatility and discover how it opens doors to remote job opportunities. - **Getting Started with Python** Learn how to set up your development environment and write your first Python program while mastering essential libraries. - **Leveraging ChatGPT for Learning Python** Supercharge your learning with AI-driven assistance from ChatGPT and see practical coding examples. - **Core and Advanced Python Programming Concepts** From variables and data types to object-oriented programming and APIs, gain a deep understanding of Python. - **Building a Portfolio with Python Projects** Identify key projects to showcase your skills and build an impressive portfolio that attracts remote job offers. - **Finding Remote Work as a Python Developer** Navigate the remote job market with tips on building your online presence, networking, and utilizing job boards. - **Freelancing vs. Contracting vs. Full-Time Remote Jobs** Weigh the pros and cons of different work arrangements and choose the best fit for your lifestyle. - **Managing Finances on the Go** Get practical advice on international banking, budgeting, and handling taxes as a nomadic professional. - **Productivity Tips for Remote Python Developers** Optimize your work environment, manage your time effectively, and stay focused amidst distractions. - **Tools and Resources for the Modern Digital Nomad** Discover essential software, online communities, and continuous learning resources. - **Health and Wellness While Traveling** Learn how to maintain physical fitness, prioritize mental health, and balance work with leisure. - **Navigating Cross-Cultural Work Environments** Master cross-cultural communication and adapt to diverse work styles. - **Case Studies Successful Python Digital Nomads** Gain insights from real-life stories and actionable takeaways from experienced digital nomads. Embark on your journey towards freedom, flexibility, and success. Transform your Python skills into a ticket to the digital nomad lifestyle with "The Freedom Blueprint for a Python Developer." Your adventure starts now.

Python Object-Oriented Programming
Python Object-Oriented Programming

Author: Steven F. Lott

Publisher: Packt Publishing Ltd

Published: 2021-07-02

Total Pages: 715

ISBN-13: 1801075239

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A comprehensive guide to exploring modern Python through data structures, design patterns, and effective object-oriented techniques Key Features Build an intuitive understanding of object-oriented design, from introductory to mature programs Learn the ins and outs of Python syntax, libraries, and best practices Examine a machine-learning case study at the end of each chapter Book Description Object-oriented programming (OOP) is a popular design paradigm in which data and behaviors are encapsulated in such a way that they can be manipulated together. Python Object-Oriented Programming, Fourth Edition dives deep into the various aspects of OOP, Python as an OOP language, common and advanced design patterns, and hands-on data manipulation and testing of more complex OOP systems. These concepts are consolidated by open-ended exercises, as well as a real-world case study at the end of every chapter, newly written for this edition. All example code is now compatible with Python 3.9+ syntax and has been updated with type hints for ease of learning. Steven and Dusty provide a comprehensive, illustrative tour of important OOP concepts, such as inheritance, composition, and polymorphism, and explain how they work together with Python's classes and data structures to facilitate good design. In addition, the book also features an in-depth look at Python's exception handling and how functional programming intersects with OOP. Two very powerful automated testing systems, unittest and pytest, are introduced. The final chapter provides a detailed discussion of Python's concurrent programming ecosystem. By the end of the book, you will have a thorough understanding of how to think about and apply object-oriented principles using Python syntax and be able to confidently create robust and reliable programs. What you will learn Implement objects in Python by creating classes and defining methods Extend class functionality using inheritance Use exceptions to handle unusual situations cleanly Understand when to use object-oriented features, and more importantly, when not to use them Discover several widely used design patterns and how they are implemented in Python Uncover the simplicity of unit and integration testing and understand why they are so important Learn to statically type check your dynamic code Understand concurrency with asyncio and how it speeds up programs Who this book is for If you are new to object-oriented programming techniques, or if you have basic Python skills and wish to learn how and when to correctly apply OOP principles in Python, this is the book for you. Moreover, if you are an object-oriented programmer coming from other languages or seeking a leg up in the new world of Python, you will find this book a useful introduction to Python. Minimal previous experience with Python is necessary.

Artificial Intelligence with Python
Artificial Intelligence with Python

Author: Prateek Joshi

Publisher: Packt Publishing Ltd

Published: 2017-01-27

Total Pages: 437

ISBN-13: 1786469677

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Build real-world Artificial Intelligence applications with Python to intelligently interact with the world around you About This Book Step into the amazing world of intelligent apps using this comprehensive guide Enter the world of Artificial Intelligence, explore it, and create your own applications Work through simple yet insightful examples that will get you up and running with Artificial Intelligence in no time Who This Book Is For This book is for Python developers who want to build real-world Artificial Intelligence applications. This book is friendly to Python beginners, but being familiar with Python would be useful to play around with the code. It will also be useful for experienced Python programmers who are looking to use Artificial Intelligence techniques in their existing technology stacks. What You Will Learn Realize different classification and regression techniques Understand the concept of clustering and how to use it to automatically segment data See how to build an intelligent recommender system Understand logic programming and how to use it Build automatic speech recognition systems Understand the basics of heuristic search and genetic programming Develop games using Artificial Intelligence Learn how reinforcement learning works Discover how to build intelligent applications centered on images, text, and time series data See how to use deep learning algorithms and build applications based on it In Detail Artificial Intelligence is becoming increasingly relevant in the modern world where everything is driven by technology and data. It is used extensively across many fields such as search engines, image recognition, robotics, finance, and so on. We will explore various real-world scenarios in this book and you'll learn about various algorithms that can be used to build Artificial Intelligence applications. During the course of this book, you will find out how to make informed decisions about what algorithms to use in a given context. Starting from the basics of Artificial Intelligence, you will learn how to develop various building blocks using different data mining techniques. You will see how to implement different algorithms to get the best possible results, and will understand how to apply them to real-world scenarios. If you want to add an intelligence layer to any application that's based on images, text, stock market, or some other form of data, this exciting book on Artificial Intelligence will definitely be your guide! Style and approach This highly practical book will show you how to implement Artificial Intelligence. The book provides multiple examples enabling you to create smart applications to meet the needs of your organization. In every chapter, we explain an algorithm, implement it, and then build a smart application.

Beginning Game Development with Python and Pygame
Beginning Game Development with Python and Pygame

Author: Will McGugan

Publisher: Apress

Published: 2007-12-22

Total Pages: 330

ISBN-13: 1430203250

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This book provides readers with an introductory resource for learning how to create compelling games using the open source Python programming language and Pygame games development library. Authored by industry veteran and Python expert Will McGugan, readers are treated to a comprehensive, practical introduction to games development using these popular technologies. They can also capitalize upon numerous tips and tricks the author has accumulated over his career creating games for some of the world's largest gaming developers.

Learn AI-assisted Python Programming
Learn AI-assisted Python Programming

Author: Leo Porter

Publisher: Simon and Schuster

Published: 2024-01-09

Total Pages: 461

ISBN-13: 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