This tutorial shows you how to use FastAPI with most of its features, step by step. Each section gradually builds on the previous ones, but it's structured to separate topics, so that you can go …

You could easily add any of those alternatives to your application built with FastAPI. You could also use it to generate code automatically, for clients that communicate with your API.

Here are the introductory sections and the tutorials to learn FastAPI. You could consider this a book, a course, the official and recommended way to learn FastAPI. 😎

" If anyone is looking to build a production Python API, I would highly recommend FastAPI. It is beautifully designed, simple to use and highly scalable, it has become a key component in our API …

This is a very simple and short tutorial, if you want to learn about databases in general, about SQL, or more advanced features, go to the SQLModel docs. Install SQLModel First, make sure you create …

The main Tutorial - User Guide should be enough to give you a tour through all the main features of FastAPI. In the next sections you will see other options, configurations, and additional features.

I'll show you how to build a Docker image for FastAPI from scratch, based on the official Python image. This is what you would want to do in most cases, for example:

This tutorial shows you how to use FastAPI with most of its features, step by step. Each section gradually builds on the previous ones, but it's structured to separate topics, so that you can go …

FastAPI framework, high performance, easy to learn, fast to code, ready for production

Write your own async code Starlette (and FastAPI) are based on AnyIO, which makes it compatible with both Python's standard library asyncio and Trio. In particular, you can directly use AnyIO for your …