FastAPI: Modern Python Web Framework

FastAPI adalah modern, fast web framework untuk building APIs dengan Python 3.7+, created by Sebastián Ramírez. Based on standard Python type hints. Why FastAPI: very high performance (comparable to NodeJS/Go), fast to code, fewer bugs (type checking), intuitive (excellent editor support), automatic interactive docs (Swagger UI, ReDoc), production-ready. Performance: Starlette untuk web parts, Pydantic untuk data validation, async support, benchmarks show 2-3x faster than Flask. Type hints: Python's typing module, defines parameter/return types, enables auto-validation, auto-documentation, editor autocomplete. Basic app: from fastapi import FastAPI, app = FastAPI(), @app.get('/') decorator. Path operations: GET, POST, PUT, DELETE, PATCH, functions handle requests, automatic JSON serialization. Request handling: path parameters, query parameters, request body (Pydantic models), headers, cookies, form data, files. Pydantic models: define data schemas, automatic validation, serialization, type conversion, custom validators. Response models: specify return type, automatic documentation, data filtering. Dependency injection: Depends() untuk reusable logic, database connections, authentication, nested dependencies. Authentication: OAuth2 with JWT, API keys, cookie-based, integrate dengan auth providers. Database integration: SQLAlchemy (ORM), databases library (async), Tortoise ORM, MongoDB dengan motor. Background tasks: BackgroundTasks untuk async operations, Celery integration untuk heavy tasks. Middleware: CORS, GZip, custom middleware, request/response processing. Error handling: HTTPException, custom exception handlers, validation errors automatic. Testing: TestClient (based on Starlette), pytest integration, async tests. Async support: async def endpoints, await database queries, concurrent requests handled efficiently. WebSocket support: real-time bidirectional communication, chat apps, notifications. GraphQL: Strawberry, Graphene integration. Deployment: Uvicorn (ASGI server), Gunicorn + Uvicorn workers, Docker containerization, cloud platforms (AWS, GCP, Heroku). Documentation: automatic OpenAPI schema, Swagger UI at /docs, ReDoc at /redoc, customizable. Validation: automatic request validation, custom validators, regex patterns, value constraints. Security: automatic security scheme documentation, SQL injection prevention, XSS protection, rate limiting. Project structure: routers untuk organization, separate models/schemas/crud, config management. Advanced features: custom response classes, streaming responses, custom OpenAPI schema, sub-applications. Real-world usage: Uber, Microsoft, Netflix use FastAPI, rapidly growing adoption. Comparison: Flask (simple but slower, less features), Django (batteries-included but heavier), FastAPI (modern, fast, type-safe). Extensions: fastapi-users (user management), fastapi-cache (caching), fastapi-pagination, fastapi-mail. Learning curve: easy if know Python, type hints may be new, async concepts important. Best practices: use Pydantic models, type everything, dependency injection, separate concerns, comprehensive tests. Ecosystem: growing rapidly, active community, excellent documentation. Career: FastAPI adoption accelerating, companies migrating dari Flask/Django, modern Python skill. FastAPI represents modern Python web development, combines ease of use dengan performance dan type safety, highly recommended untuk new API projects.