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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

1. Part 1: Introduction to Python and FastAPI

2. Chapter 1: Python Development Environment Setup

3. Chapter 2: Python Programming Specificities

4. Chapter 3: Developing a RESTful API with FastAPI

5. Chapter 4: Managing Pydantic Data Models in FastAPI

6. Chapter 5: Dependency Injection in FastAPI

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

8. Chapter 6: Databases and Asynchronous ORMs

9. Chapter 7: Managing Authentication and Security in FastAPI

10. Chapter 8: Defining WebSockets for Two-Way Interactive Communication in FastAPI

11. Chapter 9: Testing an API Asynchronously with pytest and HTTPX

12. Chapter 10: Deploying a FastAPI Project

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

14. Chapter 11: Introduction to Data Science in Python

15. Chapter 12: Creating an Efficient Prediction API Endpoint with FastAPI

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

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

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

19. Index

Why subscribe?

20. Other Books You May Enjoy

Python Development Environment Setup

Before we can go through our FastAPI journey, we need to configure a Python environment following the best practices and conventions Python developers use daily to run their projects. By the end of this chapter, you’ll be able to run Python projects and install third-party dependencies in a contained environment that won’t raise conflicts if you happen to work on another project that uses different versions of the Python language or dependencies.

In this chapter, we will cover the following main topics:

Installing a Python distribution using pyenv
Creating a Python virtual environment
Installing Python packages with pip
Installing the HTTPie command-line utility

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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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