fastapi-development

Create fast, modern Python APIs using FastAPI with async/await support, automatic API documentation, type validation using Pydantic, dependency injection, JWT authentication, and SQLAlchemy ORM integration. Minimal working example: Detailed implementations in the references/ directory: - Overview - When to Use - Quick Start - Reference Guides - Best Practices - Building high-performance Python REST APIs - Creating async API endpoints - Implementing automatic OpenAPI/Swagger documentation - Leveraging Python type hints for validation - Building microservices with async support - Integrating Pydantic for data validation - Use async/await for I/O operations - Leverage Pydantic for validation - Use dependency injection for services - Implement proper error handling with HTTPException - Use type hints for automatic OpenAPI documentation - Create service layers for business logic - Implement authentication on protected routes - Use environment variables for configuration - Return appropriate HTTP status codes - Document endpoints with docstrings and tags - Use synchronous database operations - Trust user input without validation - Store secrets in code - Ignore type hints - Return database models in responses - Implement authentication in route handlers - Use mutable default arguments - Forget to validate query parameters - Expose stack traces in production