Building Robust Python Web APIs

Overview

“Building Robust Python Web APIs” provides a comprehensive guide to creating scalable, secure, and maintainable web APIs using Python’s most popular frameworks. Whether you’re building microservices or monolithic applications, this book covers the essential patterns and practices.

What You’ll Learn

• Framework Mastery: Deep dive into FastAPI and Django REST Framework
• API Design Principles: RESTful design, GraphQL integration, and API versioning
• Authentication & Security: JWT, OAuth2, rate limiting, and security best practices
• Testing Strategies: Unit testing, integration testing, and API documentation testing
• Performance Optimization: Caching, database optimization, and async programming
• Deployment & Operations: Docker containerization, CI/CD, and monitoring

Key Features

• Hands-on Projects: Build complete API applications from scratch
• Modern Python: Leverage type hints, async/await, and Python 3.11+ features
• Production-Ready: Error handling, logging, and operational considerations
• Best Practices: Industry-standard patterns and architectural decisions

Table of Contents

1. API Design Fundamentals and REST Principles
2. FastAPI: Modern Python API Development
3. Django REST Framework: Enterprise-Grade APIs
4. Database Integration and ORM Best Practices
5. Authentication, Authorization, and Security
6. Testing Your APIs: Unit, Integration, and Load Testing
7. API Documentation and Client Generation
8. Performance Optimization and Caching
9. Deployment, Monitoring, and Operations
10. Advanced Topics: GraphQL, WebSockets, and Async Patterns

About the Author

David Kim is a Senior Backend Engineer at a leading fintech company, where he architects high-performance API systems handling millions of requests daily. He’s contributed to several open-source Python projects and regularly writes about API development best practices.