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Building Python Web APIs with FastAPI

Building Python Web APIs with FastAPI

By : Abdulazeez , Abdulazeez Abdulazeez Adeshina
4.7 (9)
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Building Python Web APIs with FastAPI

Building Python Web APIs with FastAPI

4.7 (9)
By: Abdulazeez , 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)
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1
Part 1: An Introduction to FastAPI
6
Part 2: Building and Securing FastAPI Applications
10
Part 3: Testing And Deploying FastAPI Applications

Deploying with Docker

In Chapter 1, Getting Started with FastAPI, you were introduced to the basics of Docker and the Dockerfile. In this section, you’ll be writing a Dockerfile for the event planner API.

Docker is the most popular technology used for containerization. Containers are self-contained systems consisting of packages, code, and dependencies that enable them to run in different environments with little to no dependence on their running environment. Docker uses Dockerfiles for the containerization process.

Docker can be used for local development as well as for deploying applications to production. We’ll only be looking at local deployment in this chapter, and links to official guides on deploying to cloud services will be included as well.

For managing applications with multiple containers, such as an application container and a database container, the compose tool is used. Compose is a tool used to manage multi-container Docker applications defined...

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