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

View More author details

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

Basics of Python programming

First of all, let's review some of the key aspects of Python:

It's an interpreted language. Contrary to languages such as C or Java, it doesn't need to be compiled, which allows us to run Python code interactively.
It's dynamically typed. The type of values is determined at runtime.
It supports several programming paradigms: procedural, object-oriented, and functional programming.

This makes Python quite a versatile language, from simple automation scripts to complex data science projects.

Let's now write and run some Python!

Running Python scripts

As we said, Python is an interpreted language. Hence, the simplest and quickest way to run some Python code is to launch an interactive shell. Just run the following command to start a session:

$ python
Python 3.7.10 (default, Mar  7 2021, 10:12:14) 
[Clang 12.0.0 (clang-1200.0.32.29)] on darwin
Type "help", "copyright"...

The rest of the chapter is locked

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

Basics of Python programming

Running Python scripts

Authors (1)

Personalised recommendations for you

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

Basics of Python programming

Running Python scripts

Unlock this book and the full library FREE for 7 days

Authors (1)

Personalised recommendations for you