Author(s): Christian Guerra

Originally published on Towards AI.

We are officially ready to start building our first API.

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I want to show you how to create a machine learning app, but I love starting with a simple “hello world”. This will help us understand the basic infrastructure required for an ML application and learn the fundamentals.

Photo by Zach Graves on Unsplash

If you want the complete code shown in this article, you can find it in my Github repository. You can check the code from there or review the complete series on FastAPI 101 and learn how to set up everything.

This might be a dense part of our series since it contains a lot of information and we don’t see a fun output, but it covers the fundamentals for APIs. It is a building block for creating entertaining and exciting projects, so it will be worth it.

In the next article we will go deeper into important FastAPI concepts using a Machine Learning example that increases complexity as we advance through the course.

If you already know how to create a project great, we’ll start from here. If not, you can review the previous article: You know Python but… How do we create our first project?

First things first, let’s install… Read the full blog for free on Medium.

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Published via Towards AI