You're reading from Building Data Science Applications with FastAPI

Product typeBook

Published inOct 2021

Reading LevelBeginner

PublisherPackt

ISBN-139781801079211

Edition1st Edition

Languages

Python

Tools

Fastlane

Concepts

Data Science

Author (1)

François Voron

Section 2: Build and Deploy a Complete Web Backend with FastAPI

The goal of this section is to show you how to build a real-world backend with FastAPI that can read and write data and authenticate users, and that is properly tested and correctly configured for a production environment.

This section comprises the following chapters:

Chapter 6, Databases and Asynchronous ORMs
Chapter 7, Managing Authentication and Security in FastAPI
Chapter 8, Defining WebSockets for Two-Way Interactive Communication in FastAPI
Chapter 9, Testing an API Asynchronously with pytest and HTTPX
Chapter 10, Deploying a FastAPI Project

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Building Data Science Applications with FastAPI

Published in: Oct 2021Publisher: PacktISBN-13: 9781801079211

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Author (1)

François Voron

François Voron graduated from the University of Saint-Étienne (France) and the University of Alicante (Spain) with a master's degree in machine learning and data mining. A full stack web developer and a data scientist, François has a proven track record working in the SaaS industry, with a special focus on Python backends and REST APIs. He is also the creator and maintainer of FastAPI Users, the #1 authentication library for FastAPI, and is one of the top experts in the FastAPI community.
Read more about François Voron

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