Master FastAPI to Build Secure, High-performance Web APIs with Modern Python- from Fundamentals to Full-scale Applications.

Key Features

● Comprehensive coverage of FastAPI from fundamentals to deployment.

● Build production-ready APIs by integrating authentication, databases, and async programming.

● Practical guidance on testing, scaling, and securing APIs for production.

Book Description

APIs are the backbone of today's interconnected digital world, powering everything from mobile apps to enterprise systems. Building them to be fast, scalable, and secure is critical for modern software success. Building High-Performance Web APIs with FastAPI shows you how to achieve exactly that-using Python's cutting-edge FastAPI framework.

Starting with RESTful API fundamentals and FastAPI's core principles, you will set up your development environment, install the framework, and explore its key features. You will progress through designing and validating data models with Pydantic, implementing authentication and authorization, handling file uploads, and integrating relational databases like SQLite, PostgreSQL, and MySQL.

From there, you will master testing and debugging techniques, learn deployment strategies with Docker and Kubernetes, and scale your APIs with best practices for performance and security. Real-world projects and step-by-step examples make each concept easy to grasp and apply.

Thus, by the end, you will have the skills and confidence to design, build, and deploy production-ready APIs that meet today's performance and reliability standards.

Hence, whether you are a developer, architect, or engineer, Building High-Performance Web APIs with FastAPI is your roadmap to mastering high-performance API development-start building the APIs your users deserve.

What you will learn

● Understand FastAPI's architecture and RESTful API principles.

● Set up a complete development environment, and install FastAPI.

● Design and validate request/response models with Pydantic.

● Implement authentication, authorization, and file handling.

● Connect to databases (SQLite, PostgreSQL, and MySQL) with SQLAlchemy.

● Deploy and scale FastAPI applications, using Docker and Kubernetes.

Table of Contents

1. 
   

   Introduction to FastAPI and RESTful APIs

   
   


2. 
   

   Setting Up the Development Environment

   
   


3. 
   

   Installing FastAPI

   
   


4. 
   

   Core Features of FastAPI

   
   


5. 
   

   Dependency Injection

   
   


6. 
   

   Request and Response Models with Pydantic

   
   


7. 
   

   Authentication and Authorization

   
   


8. 
   

   File Uploading

   
   


9. 
   

   Connecting to Databases

   
   


10. 
    

    Testing and Debugging

    
    


11. 
    

    Deployment and Scalability

    
    


12. 
    

    Managing Application Configuration

    
    


13. 
    

    Building Practical Projects

    
    


14. 
    

    Future of FastAPI

    
    


15. 
    

    Appendices

    
    

Index