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FastAPI Cookbook

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

Product type Book

Published in Aug 2024

Publisher Packt

ISBN-13 9781805127857

Pages 358 pages

Edition 1st Edition

Languages

Concepts

Web Programming

Author (1):

Giunio De Luca

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Table of Contents (15) Chapters

Preface

1. Chapter 1: First Steps with FastAPI FREE CHAPTER

2. Chapter 2: Working with Data

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

Working with Data

Data handling is the backbone of any web application, and this chapter is dedicated to mastering this critical aspect. You will embark on a journey of working with data in FastAPI, where you’ll learn the intricacies of integrating, managing, and optimizing data storage using both Structured Query Language (SQL) and NoSQL databases. We’ll cover how FastAPI, combined with powerful database tools, can create efficient and scalable data management solutions.

Starting with SQL databases, you’ll get hands-on experience in setting up a database, implementing create, read, update and delete (CRUD) operations, and understanding the nuances of working with SQLAlchemy – a popular object-relational mapping (ORM) option for Python. We’ll then shift gears to NoSQL databases, delving into the world of MongoDB. You’ll learn how to integrate it with FastAPI, handle dynamic data structures, and leverage the flexibility and scalability of...

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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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