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 …

Este tutorial te muestra cómo usar FastAPI con la mayoría de sus funcionalidades, paso a paso. Cada sección se basa gradualmente en las anteriores, pero está estructurada para separar temas, de …

We will create a FastAPI dependency with yield that will provide a new Session for each request. This is what ensures that we use a single session per request. 🤓 Then we create an Annotated dependency …

FastAPIをインストールする 最初のステップは、FastAPIのインストールです。 仮想環境 を作成して有効化し、それから FastAPIをインストール してください:

If you want to call async functions in your tests apart from sending requests to your FastAPI application (e.g. asynchronous database functions), have a look at the Async Tests in the advanced tutorial.

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.

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 …