FastAPI
Typed, async API framework built on type hints.
FastAPI is taught here in 3 lessons, running from Your first FastAPI app through to Dependencies and async. Each lesson takes one topic, shows the working code, and links onward to the next, so the course can be read straight through in order.
| Track | Python & Data Science |
| Lessons | 3 |
| Level | Beginner |
| Reading time | about 39 minutes |
| Prerequisites | Helpful, but not required: Flask |
Lessons
- Your first FastAPI appPath operations, type-driven validation, automatic OpenAPI docs, and the route-ordering trap that silently returns 422 instead of 404.
- Pydantic request and response modelsDefine the wire contract with Pydantic: validation, custom validators, and response models that stop internal fields leaking out of your API.
- Dependencies and asyncReusable dependencies with Depends, yield-based resource cleanup, and the blocking-call mistake that stalls an entire async worker.
More in Python & Data Science
Python 3 NumPy pandas Matplotlib Jupyter Notebook Flask Django SciPy Pillow Python 2.x R Julia
FAQ
How long does the FastAPI course take?
It has 3 lessons, about 39 minutes of reading. Expect roughly twice that if you type out and run every example.
Do I need prior experience for FastAPI?
Not strictly. It helps to have read Flask first, because some lessons build on it, but every lesson explains its own assumptions.
What should I read after FastAPI?
Continue with Django (12 lessons), the next course in Python & Data Science.
Last refreshed 2026-09-18.