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

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An overview of relational and NoSQL databases

The role of a database is to store data in a structured way, preserve the integrity of the data, and offer a query language that enables you to retrieve this data when an application needs it.

Nowadays, when it comes to choosing a database for your web project, you have two main choices: relational databases, with their associated SQL query language, and NoSQL databases, named in opposition to the first category.

Selecting the right technology for your project is left up to you, as it greatly depends on your needs and requirements. In this section, we'll outline the main characteristics and features of those two database families and try to give you some insights into choosing the right one for your project.

Relational databases

Relational databases have existed since the 1970s, and they have proved to be very performant and reliable over time. They are almost inseparable from the SQL query language, which has become the...

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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

An overview of relational and NoSQL databases

Relational databases

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

An overview of relational and NoSQL databases

Relational databases

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Authors (1)

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