Book Image

Building Data Science Applications with FastAPI

By : François Voron
5 (1)
Book Image

Building Data Science Applications with FastAPI

5 (1)
By: François Voron

Overview of this book

FastAPI is a web framework for building APIs with Python 3.6 and its later versions based on standard Python-type hints. With this book, you’ll be able to create fast and reliable data science API backends using practical examples. This book starts with the basics of the FastAPI framework and associated modern Python programming language concepts. You'll be taken through all the aspects of the framework, including its powerful dependency injection system and how you can use it to communicate with databases, implement authentication and integrate machine learning models. Later, you’ll cover best practices relating to testing and deployment to run a high-quality and robust application. You’ll also be introduced to the extensive ecosystem of Python data science packages. As you progress, you’ll learn how to build data science applications in Python using FastAPI. The book also demonstrates how to develop fast and efficient machine learning prediction backends and test them to achieve the best performance. Finally, you’ll see how to implement a real-time face detection system using WebSockets and a web browser as a client. By the end of this FastAPI book, you’ll have not only learned how to implement Python in data science projects but also how to maintain and design them to meet high programming standards with the help of FastAPI.
Table of Contents (19 chapters)
1
Section 1: Introduction to Python and FastAPI
7
Section 2: Build and Deploy a Complete Web Backend with FastAPI
13
Section 3: Build a Data Science API with Python and FastAPI

Chapter 7: Managing Authentication and Security in FastAPI

Most of the time, you don't want everyone on the internet to have access to your API, without any restrictions on the data they can create or read. That's why you'll need to at least protect your application with a private token or have a proper authentication system to manage rights per user. In this chapter, we'll see that FastAPI provides security dependencies to help us retrieve credentials following different standards that are directly integrated into the automatic documentation. We'll also build a basic user registration and authentication system to secure our API endpoints.

Finally, we'll cover security challenges you must tackle when you want to call your API from a web application in a browser – in particular, CORS and CSRF attacks.

In this chapter, we're going to cover the following main topics:

  • Security dependencies in FastAPI
  • Retrieving a user and generating...