You're reading from Speed Up Your Python with Rust Optimize Python performance by creating Python pip modules in Rust with PyO3

Product type Paperback

Published in Jan 2022

Publisher Packt

ISBN-13 9781801811446

Length 384 pages

Edition 1st Edition

Languages

Python

Tools

Docker

Concepts

Software Architecture

Author (1):

Maxwell Flitton

View More author details

Table of Contents (16) Chapters

Preface

1. Section 1: Getting to Understand Rust

2. Chapter 1: An Introduction to Rust from a Python Perspective FREE CHAPTER

3. Chapter 2: Structuring Code in Rust

4. Chapter 3: Understanding Concurrency

5. Section 2: Fusing Rust with Python

6. Chapter 4: Building pip Modules in Python

7. Chapter 5: Creating a Rust Interface for Our pip Module

8. Chapter 6: Working with Python Objects in Rust

9. Chapter 7: Using Python Modules with Rust

10. Chapter 8: Structuring an End-to-End Python Package in Rust

11. Section 3: Infusing Rust into a Web Application

12. Chapter 9: Structuring a Python Flask App for Rust

13. Chapter 10: Injecting Rust into a Python Flask App

14. Chapter 11: Best Practices for Integrating Rust

15. Other Books You May Enjoy

Keeping our Rust implementation simple by piping data to and from Rust

We have covered everything we need to integrate Rust into our Python system. We can build Rust packages that can be installed using pip and use them in Docker when integrating with a web application. However, reaching for a setup tool can be too much effort if the problem being solved is small and simple. For instance, if in a situation we were merely opening a comma-separated values (CSV) file full of numbers in Python, calculating the Fibonacci numbers, and then writing them in another file, then it would make sense to just write the program in Rust. However, we do not start building a Rust package with Python setup tools if we have a more complicated Python standalone script that just needs a simple speedup with Rust—it is still just a standalone script. Instead, we pipe data. This means we pass data from a Python script to a Rust standalone binary and back to a Python script for computing Fibonacci numbers...