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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

Integrating FastAPI with NoSQL Databases

In this chapter, we will explore the integration of FastAPI with NoSQL databases. By crafting the backend of a music streaming platform application, you will learn how to set up and use MongoDB, a popular NoSQL database, with FastAPI.

You will also learn how to perform create, read, update and delete (CRUD) operations, work with indexes for performance optimization, and handle relationships in NoSQL databases. Additionally, you will learn how to integrate FastAPI with Elasticsearch for powerful search capabilities, secure sensitive data, and implement caching using Redis.

By the end of this chapter, you will have a solid understanding of how to effectively use NoSQL databases with FastAPI to improve the performance and functionality of your applications.

In this chapter, we’re going to cover the following recipes:

Setting up MongoDB with FastAPI
CRUD operations in MongoDB
Handling relationships in NoSQL databases...

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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