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 Oct 2021

Publisher Packt

ISBN-13 9781801079211

Length 426 pages

Edition 1st Edition

Languages

Python

Tools

FastAPI

Concepts

Data Science

Author (1):

François Voron

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Table of Contents (19) Chapters

Preface

1. Section 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 Injections in FastAPI

7. Section 2: Build and Deploy 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. Section 3: Build a Data Science API with Python and FastAPI

14. Chapter 11: Introduction to NumPy and pandas

15. Chapter 12: Training Machine Learning Models with scikit-learn

16. Chapter 13: Creating an Efficient Prediction API Endpoint with FastAPI

17. Chapter 14: Implement a Real-Time Face Detection System Using WebSockets with FastAPI and OpenCV

18. Other Books You May Enjoy

Section 2: Build and Deploy 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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You're reading from Building Data Science Applications with FastAPI Develop, manage, and deploy efficient machine learning applications with Python

Table of Contents (19) Chapters

Section 2: Build and Deploy a Complete Web Backend with FastAPI

Authors (1)

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

Table of Contents (19) Chapters

Section 2: Build and Deploy a Complete Web Backend with FastAPI

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