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FastAPI Cookbook

You're reading from FastAPI Cookbook Develop high-performance APIs and web applications with Python

Product type Paperback

Published in Aug 2024

Publisher Packt

ISBN-13 9781805127857

Length 358 pages

Edition 1st Edition

Languages

Python

Tools

FastAPI

Concepts

Middleware

Author (1):

Giunio De Luca

View More author details

Table of Contents (15) Chapters

Preface

1. Chapter 1: First Steps with FastAPI

2. Chapter 2: Working with Data FREE CHAPTER

3. Chapter 3: Building RESTful APIs with FastAPI

4. Chapter 4: Authentication and Authorization

5. Chapter 5: Testing and Debugging FastAPI Applications

6. Chapter 6: Integrating FastAPI with SQL Databases

7. Chapter 7: Integrating FastAPI with NoSQL Databases

8. Chapter 8: Advanced Features and Best Practices

9. Chapter 9: Working with WebSocket

10. Chapter 10: Integrating FastAPI with other Python Libraries

11. Chapter 11: Middleware and Webhooks

12. Chapter 12: Deploying and Managing FastAPI Applications

13. Index

Why subscribe?

14. Other Books You May Enjoy

Technical requirements

This chapter is for advanced users who want to learn how to deploy their FastAPI applications on the cloud. If you are new to FastAPI or Python, you might want to check out the first two chapters of the book.

You can find the chapter’s code on GitHub here: https://github.com/PacktPublishing/FastAPI-Cookbook/tree/main/Chapter12.

To manage dependencies and isolate the project, set up a virtual environment in the project root folder.

For the Running FastAPI applications in Docker containers and Running the server across multiple workers recipes, we will be using Docker. Make sure to install it on your machine.

The rest of the chapter is locked

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Authors (1)

Giunio De Luca

Giunio De Luca

Giunio De Luca is a software engineer with over 10 years of experience in fields such as physics, sports, and administration. He graduated in industrial engineering from the University of Basilicata and holds a PhD in numerical simulations from Paris-Saclay University. His work spans developing advanced algorithms, creating sports analytics applications, and improving administrative processes. As an independent consultant, he collaborates with research labs, government agencies, and start-ups across Europe. He also supports coding education in schools and universities through workshops, lectures, and mentorship programs, inspiring the next generation of software engineers with his expertise and dedication.

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