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

Structuring a bigger project with multiple routers

When building a real-world web application, you're likely to have lot of code and logic: data models, API endpoints, and services. Of course, all of those can't live in a single file; we have to structure the project so that it's easy to maintain and evolve.

FastAPI supports the concept of routers. They are "sub-parts" of your API and are usually dedicated to a single type of object, such as users or posts, that are defined in their own file. You can then include them in your main FastAPI app so that it can route it accordingly.

In this section, we'll explore how to use routers and how you can structure a FastAPI project. While this structure is one way to do it, and works quite well, it's not a golden rule and can be adapted to your own needs.

In the code examples repository, there is a folder named chapter3_project, which contains a sample project with this structure: https://github.com...