" 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 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. 😎

Just standard modern Python. If you need a 2 minute refresher of how to use Python types (even if you don't use FastAPI), check the short tutorial: Python Types.

I will show you some of the main concepts you should probably keep in mind when deploying a FastAPI application (although most of it applies to any other type of web application). You will see more …

独立机构 TechEmpower 所作的基准测试结果显示，基于 Uvicorn 运行的 FastAPI 程序是 最快的 Python web 框架之一，仅次于 Starlette 和 Uvicorn 本身（FastAPI 内部使用了它们）。

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

Using check_same_thread=False allows FastAPI to use the same SQLite database in different threads. This is necessary as one single request could use more than one thread (for example in dependencies).

That, plus the simple fact that Python is the main language for Data Science, Machine Learning and especially Deep Learning, make FastAPI a very good match for Data Science / Machine Learning …