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Learning FastAPI through real projects

·1 min read

When building APIs in Python, you often hear about Django and Flask. But recently, FastAPI has been stealing the spotlight, and for good reason. I decided to learn it by diving straight into building a real project.

The Appeal of FastAPI

FastAPI is exactly what it sounds like: fast. It's built on top of Starlette and Pydantic, meaning you get incredible performance and automatic data validation out of the box. The automatic interactive documentation (Swagger UI) is an absolute game-changer.

The Project

I built a simple API to serve my resume data. It allowed me to learn about:

  • Routing: Organizing endpoints cleanly.
  • Pydantic Models: Validating request and response bodies.
  • Dependency Injection: Handling database connections and authentication simply and elegantly.

By learning through a real project, I faced actual challenges—like handling CORS and structuring my project—that a simple "Hello World" tutorial wouldn't have taught me. FastAPI is now my go-to framework for Python backends.