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.

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'll Learn Inside This Book:

• Step-by-step FastAPI tutorial book that transforms beginners into confident web API programmers
• Python API development strategies to bring real business value and production-grade reliability to your projects
• REST API development and modern web API architecture design, made easy and clear
• Practical guides to database integration with SQLAlchemy, PostgreSQL, and MySQL—build robust, data-driven backend solutions
• Powerful FastAPI authentication and authorization guides for secure endpoints and user data
• Advanced async Python programming for high-speed and efficient processing
• Proven Docker deployment strategies and Kubernetes scaling walkthroughs for cloud-ready APIs
• Real-world project case studies, performance optimization tips, and actionable API testing and debugging techniques
• Clear API security programming guidance and data validation best practices with Pydantic

What You Will Achieve:

• Gain confidence working with complex FastAPI backend architectures
• Master field-tested deployment and scaling solutions, including Docker and Kubernetes integration
• Acquire hands-on experience with designing and securing scalable Python microservices
• Build a toolkit for performance tuning, troubleshooting, and maintaining production APIs
• Overcome common web development pitfalls with practical advice from real-world experience

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