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Building Data Science Applications with FastAPI - Second Edition

You're reading from Building Data Science Applications with FastAPI - Second Edition

Product type Book

Published in Jul 2023

Publisher Packt

ISBN-13 9781837632749

Pages 422 pages

Edition 2nd Edition

Languages

Concepts

Author (1):

François Voron

Table of Contents (21) Chapters

Preface

Part 1: Introduction to Python and FastAPI

Chapter 1: Python Development Environment Setup

Chapter 2: Python Programming Specificities

Chapter 3: Developing a RESTful API with FastAPI

Chapter 4: Managing Pydantic Data Models in FastAPI

Chapter 5: Dependency Injection in FastAPI

Part 2: Building and Deploying a Complete Web Backend with FastAPI

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

Part 3: Building Resilient and Distributed Data Science Systems with FastAPI

Chapter 11: Introduction to Data Science in Python

Chapter 12: Creating an Efficient Prediction API Endpoint with FastAPI

Chapter 13: Implementing a Real-Time Object Detection System Using WebSockets with FastAPI

Chapter 14: Creating a Distributed Text-to-Image AI System Using the Stable Diffusion Model

Chapter 15: Monitoring the Health and Performance of a Data Science System

Index

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Part 2: Building and Deploying 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 - Second Edition

Published in: Jul 2023 Publisher: Packt ISBN-13: 9781837632749

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Authors (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.

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