I'm assuming you already know the basics of REST. If not, or if you want a quick refresh, I've written an introduction to Designing a RESTful Web API.
This tutorial looks at how to develop and test an asynchronous API with FastAPI, Postgres, Pytest, and Docker using Test-Driven Development (TDD). We'll also use the Databases package for interacting with Postgres asynchronously.
This tutorial will show you how to rapidly deploy your machine learning models with FastAPI, Redis and Docker.
Official tutorial showing you how to use FastAPI with most of its features, step by step.
Progress in the last decade shows that the success of an ML system depends largely on the data it was trained on. Instead of focusing on improving ML algorithms, most companies focus on managing and improving their data.
Despite the success of models using massive amounts of data, many are skeptical of the emphasis on data as the way forward. In the last three years, at every academic conference I attended, there were always some debates among famous academics on the power of mind (inductive biases such as intelligent architectural designs) vs. data.
Welcome to Practice Python! There are over 30 beginner Python exercises just waiting to be solved. Each exercise comes with a small discussion of a topic and a link to a solution.