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

View More author details

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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Python Programming Specificities

The Python language was designed to emphasize code readability. As such, it provides syntaxes and constructs that allow developers to quickly express complex concepts in a few readable lines. This makes it quite different from other programming languages.

The goal of this chapter is thus to get you acquainted with its specificities, but we expect you already have some experience with programming. We’ll first get started with the basics of the language, the standard types, and the flow control syntaxes. You’ll also be introduced to the list comprehension and generator concepts, which are very powerful ways to go through and transform sequences of data. You’ll also see that Python can be used as an object-oriented language, still through a very lightweight yet powerful syntax. Before moving on, we’ll also review the concepts of type hinting and asynchronous I/O, which are quite new in Python but are at the core of the FastAPI...