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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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Technical requirements

For this chapter, you’ll require a Python virtual environment, just as we set up in Chapter 1, Python Development Environment Setup.

You’ll find all the code examples for this chapter in the dedicated GitHub repository at https://github.com/PacktPublishing/Building-Data-Science-Applications-with-FastAPI-Second-Edition/tree/main/chapter13.

The rest of the chapter is locked

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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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