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

Configuring CORS and protecting against CSRF attacks

Nowadays, lot of software are designed to be used in a browser through an interface built with HTML, CSS, and JavaScript. Traditionally, web servers were responsible for handling browser requests and returning an HTML response, ready to be shown. This is a common use case for frameworks such as Django.

For a few years now, there has been a shift in that pattern. With the emergence of JavaScript frameworks, such as Angular, React, and Vue, we tend to have a clear separation between the frontend, a highly interactive user interface powered by JavaScript, and the backend. Thus, those backends are now only responsible for data storage and retrieving and executing business logic. This is a task that REST APIs are very good at! From the JavaScript code, the user interface can then just spawn requests to your API and handle the result to present it.

However, we must still handle authentication: we want our user to be able to log in...