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FastAPI for Beginners

6 articles across 3 parts — read in order.

I — Core Concepts

2 articles
  1. 01Why FastAPI? Understanding the Problem It Actually SolvesThe real-world pain of building an API without strict data validation and automatic documentation, and how FastAPI — built on Starlette and Pydantic — solves that problem from the ground up.
  2. 02Anatomy of a FastAPI Application: Path Operations, Models, and Automatic DocsThe core vocabulary of a FastAPI app — path operations, path/query/body parameters, Pydantic models, status codes, and automatic documentation — broken down one by one before we get hands-on.

II — Hands-On Practice

3 articles
  1. 03Hands-On: Your First Endpoint & Basic CRUDSetting up a FastAPI project from scratch, writing your first GET/POST endpoints with in-memory storage, and exploring the built-in interactive docs at `/docs`.
  2. 04Data Validation, Response Models & Error Handling with PydanticTightening field validation with `Field` and `Enum`, separating request schemas from response schemas, and telling apart FastAPI's two layers of error handling — automatic validation vs. `HTTPException`.
  3. 05Hands-On: Database with SQLModel & Dependency InjectionWiring the app up to a real database with SQLModel, understanding engines and sessions, and finally covering dependency injection via `Depends()` while cleaning up the project structure.

III — Best Practices

1 article
  1. 06Best Practices & Next StepsCommon beginner mistakes in FastAPI, writing effective tests with pytest and `TestClient`, a debugging checklist for when things break, and a roadmap for what to learn next.