Why learn FastAPI?
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Type hints double as request validation via Pydantic.
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Auto-generated OpenAPI docs and a Swagger UI for free.
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Native async support — handles I/O-heavy workloads well.
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A natural pick for AI/ML APIs that wrap Python models.
What you can build with FastAPI
REST and JSON APIs Backends for ML models Webhook receivers and microservices Internal tools
FastAPI tutorials
4 articlesHand-written tutorials, ordered as a recommended learning path.
- 01 What Is FastAPI? A clear introduction to FastAPI — ASGI and Starlette, Pydantic-driven validation, automatic OpenAPI docs, async support, and how it compares to Flask and Django.
- 02 Routes & Pydantic A practical guide to FastAPI routing and Pydantic v2 — path operations, path/query/body parameters, model validation, response_model, and response_model_exclude_unset.
- 03 Async & Dependencies A practical guide to async path operations and Depends() in FastAPI — when async actually helps, per-request DB sessions, auth dependencies, and how sub-dependencies compose.
- 04 FastAPI + SQLAlchemy A practical guide to FastAPI with SQLAlchemy 2.0 — typed models with Mapped and mapped_column, sessionmaker, get_db dependency, CRUD endpoints, and where Alembic fits.