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

View More author details

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

Creating a Web API with Python and Flask

A key insight to working with an AI assistant is that we can use it to generate code, but we need to have a good understanding of the problem domain and the solution domain. This means that we should know how to create a Web API with Python and Flask before we ask our AI assistant to help us. Can we create it without an AI assistant? Yes, but we risk getting stuck and not knowing what to do next.

So, how much knowledge are we talking about? If you know Python in general and how to build a Web API in any language, you are good to go.

Let’s begin.

Step 1: Create a new project

First, we need to create a new project. If you know Python, you know using a virtual environment is a good idea as it isolates the project from other Python projects on your computer. Using a virtual environment is not required but is recommended as different versions of Python and packages can cause issues.

Okay, so we know we need a virtual environment...