You're reading from Building Data Science Applications with FastAPI Develop, manage, and deploy efficient machine learning applications with Python

Product type Paperback

Published in Jul 2023

Publisher Packt

ISBN-13 9781837632749

Length 422 pages

Edition 2nd Edition

Languages

Python

Tools

FastAPI

Concepts

Data Science

Author (1):

François Voron

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Table of Contents (21) Chapters

Preface

1. Part 1: Introduction to Python and FastAPI

2. Chapter 1: Python Development Environment Setup FREE CHAPTER

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

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Summary

Congratulations! In this chapter, you discovered the basics of the Python language, a very clean and efficient language to work with. You were introduced to the more advanced concepts of list comprehensions and generators, which are idiomatic ways of handling sequences of data. Python is also a multi-paradigm language and you saw how to leverage the object-oriented syntax.

Finally, you discovered some of the most recent features of the language: type hinting, which allows static type checking to reduce errors and speed up development, and asynchronous I/O, a set of new tools and syntax to maximize performance and allow concurrency while doing I/O-bound operations.

You’re now ready to begin your journey with FastAPI! You’ll see that the framework takes advantage of all those Python features to propose a fast and enjoyable development experience. In the next chapter, you’ll learn how to write your very first REST API with FastAPI.