Book Image

Building Python Web APIs with FastAPI

By : Abdulazeez Abdulazeez Adeshina
Book Image

Building Python Web APIs with FastAPI

By: Abdulazeez Abdulazeez Adeshina

Overview of this book

RESTful web services are commonly used to create APIs for web-based applications owing to their light weight and high scalability. This book will show you how FastAPI, a high-performance web framework for building RESTful APIs in Python, allows you to build robust web APIs that are simple and intuitive and makes it easy to build quickly with very little boilerplate code. This book will help you set up a FastAPI application in no time and show you how to use FastAPI to build a REST API that receives and responds to user requests. You’ll go on to learn how to handle routing and authentication while working with databases in a FastAPI application. The book walks you through the four key areas: building and using routes for create, read, update, and delete (CRUD) operations; connecting the application to SQL and NoSQL databases; securing the application built; and deploying your application locally or to a cloud environment. By the end of this book, you’ll have developed a solid understanding of the FastAPI framework and be able to build and deploy robust REST APIs.
Table of Contents (14 chapters)
Part 1: An Introduction to FastAPI
Part 2: Building and Securing FastAPI Applications
Part 3: Testing And Deploying FastAPI Applications


In this chapter, we learned how to use the APIRouter class and connect routes defined with it to the primary FastAPI instance. We also learned how to create models for our request bodies and add path and query parameters to our path operations. These models serve as extra validation against improper data types supplied to request body fields. We also built a CRUD todo application to put into practice all that we learned in this chapter.

In the next chapter, you will be introduced to response, response modeling, and error handling in FastAPI. You will first be introduced to the concept of responses and how the knowledge of Pydantic models learned in this chapter helps build models for API responses. You will then learn about status codes and how to use them in your response objects and proper error handling.