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FastAPI Cookbook

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

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Product type Paperback
Published in Aug 2024
Publisher Packt
ISBN-13 9781805127857
Length 358 pages
Edition 1st Edition
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Author (1):
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Giunio De Luca Giunio De Luca
Author Profile Icon Giunio De Luca
Giunio De Luca
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Table of Contents (15) Chapters Close

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 14. Other Books You May Enjoy

Preface

FastAPI Cookbook is a vital resource for Python developers who want to master the FastAPI framework to build APIs. Created by Sebastián Ramírez Montaño, FastAPI was first released in December 2018. It quickly gained popularity and became one of the most widely used Python frameworks for building APIs.

The book starts by introducing FastAPI, showing its advantages, and it will help you set up your development environment. It then moves on to data handling, showing database integration and create, read, update and delete (CRUD) operations, to help you manage data effectively within your APIs.

As the book progresses, it explores how to create RESTful APIs, covering advanced topics such as complex queries, versioning, and extensive documentation. Security is also important, and the book has a chapter on implementing authentication mechanisms such as OAuth2 and JWT tokens to secure FastAPI applications.

Testing is an essential part of development, and the book offers strategies to ensure the quality and reliability of FastAPI applications. Deployment strategies are discussed, highlighting best practices for production environments. For applications with high traffic, the book examines scaling techniques to improve performance.

Extending FastAPI’s functionality is possible through middleware, and the book also demonstrates how to boost FastAPI’s capabilities by integrating it with other Python tools and frameworks to accommodate machine learning models and expose LLM RAG applications.

Real-time communication is handled with a chapter on WebSockets, and advanced data handling techniques are provided to manage large datasets and file management.

The book ends with a focus on serving real-world traffic with FastAPI, stressing deployment strategies and packaging shipping. Each chapter is carefully designed to build your expertise, making the FastAPI Cookbook a valuable guide for professional-grade API development.

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