Python API Tutorials
You design, build, and integrate APIs in Python. Learn REST and GraphQL patterns using FastAPI, Flask, and Django. Define schemas with Pydantic, publish OpenAPI docs, and handle authentication. Consume third-party services with Requests and urllib.request.
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Ship reliable services that scale in production. Use async I/O, Uvicorn or Gunicorn workers, and Docker for consistent builds. Add testing with pytest, schema validation, rate limiting, and observability with logging and metrics. Automate CI/CD to deploy with confidence.
Install fastapi and uvicorn, define path operations, and return Pydantic models. For Flask, add Blueprints and flask.jsonify. With Django, use Django REST Framework viewsets and serializers.
Pick FastAPI for modern async APIs and built-in OpenAPI docs. Choose Django REST Framework when you need Django authentication, Object-relational mapping (ORM), and a built-in admin. Use Flask for lightweight, flexible microservices.
FastAPI generates OpenAPI automatically at /openapi.json with interactive docs at /docs. In Flask or DRF, use flask-smorest or drf-spectacular to create schemas. Add examples and response models to keep docs relevant and accurate.
Use OAuth2 with JWTs over HTTPS and set short expirations. Validate tokens on every request and scope permissions. Add CORS rules, rate limiting, and input validation with Pydantic.
Adopt async where it fits, use connection pooling with asyncpg or SQLAlchemy, and cache with Redis. Compress responses, paginate results, and profile endpoints. Run multiple workers with Gunicorn or Uvicorn and tune timeouts.
Get Started With FastAPI
Sep 22, 2025 intermediate api front-end web-dev
Get Started With FastAPI
Sep 22, 2025 intermediate api front-end web-dev
What Are CRUD Operations?
May 15, 2024 intermediate api web-dev
