You're reading from AI-Assisted Programming for Web and Machine Learning Improve your development workflow with ChatGPT and GitHub Copilot

Product type Paperback

Published in Aug 2024

Publisher Packt

ISBN-13 9781835086056

Length 602 pages

Edition 1st Edition

Languages

Python

Tools

ChatGPT

Concepts

Artificial Intelligence

Authors (5):

Marina Fernandez

Ajit Jaokar

Anjali Jain

Christoffer Noring

Ayşe Mutlu

+1 more

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Table of Contents (25) Chapters

Preface

1. It’s a New World, One with AI Assistants, and You’re Invited FREE CHAPTER

2. Prompt Strategy

3. Tools of the Trade: Introducing Our AI Assistants

4. Build the Appearance of Our App with HTML and Copilot

5. Style the App with CSS and Copilot

6. Add Behavior with JavaScript

7. Support Multiple Viewports Using Responsive Web Layouts

8. Build a Backend with Web APIs

9. Augment Web Apps with AI Services

10. Maintaining Existing Codebases

11. Data Exploration with ChatGPT

12. Building a Classification Model with ChatGPT

13. Building a Regression Model for Customer Spend with ChatGPT

14. Building an MLP Model for Fashion-MNIST with ChatGPT

15. Building a CNN Model for CIFAR-10 with ChatGPT

16. Unsupervised Learning: Clustering and PCA

17. Machine Learning with Copilot

18. Regression with Copilot Chat

19. Regression with Copilot Suggestions

20. Increasing Efficiency with GitHub Copilot

21. Agents in Software Development

22. Conclusion

23. Other Books You May Enjoy

24. Index

How to use this book

We believe the best way to use this book is to follow the chapters in order.

Chapter 2, with the prompting strategies, is the most important chapter in the book. These patterns and strategies are referred to throughout the book and are the foundation for how to use AI assistants effectively and responsibly.

The book is written in the following format:

Introduction: The first chapter aims to provide you with an overview of what this book is about, its goals, and who it is for.
Prompt strategy: The idea is to lay the foundation on how to break down problems within the domains of data science and web development. From this chapter, you will learn strategies you can adopt for your own problems.
Tools of the trade: The third chapter introduces you to our tools, GitHub Copilot and ChatGPT, what they are, how they work, and how to install them. However, the book is written in such a way that you can take any of the prompts we suggest and feed those into any AI assistant, and get a similar experience.
The remaining chapters of the book show how we use the prompt strategies from Chapter 2 and apply them to various domains from web development to data science and machine learning.

Happy reading!