A Layman’s Guide for Data Scientists to create APIs in minutes

FastAPI tutorial

Have you ever been in a situation where you want to provide your model predictions to a frontend developer without them having access to model related code? Or has a developer ever asked you to create an API that they can use? I have faced this a lot.

As Data Science and Web developers try to collaborate, API’s become an essential piece of the puzzle to make codes as well as skills more modular. In fact, in the same way, that a data scientist can’t be expected to know much about Javascript or nodeJS, a frontend developer should be able to get by without knowing any Data Science Language. And APIs do play a considerable role in this abstraction.

But, APIs are confusing. I myself have been confused a lot while creating and sharing them with my development teams who talk in their API terminology like GET request, PUT request, endpoint, Payloads, etc.

This post will be about simplifying and understanding how APIs work, explaining some of the above terms, and creating an API using the excelle…