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Speed Up Your Python with Rust

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

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Product type Paperback
Published in Jan 2022
Publisher Packt
ISBN-13 9781801811446
Length 384 pages
Edition 1st Edition
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Author (1):
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Maxwell Flitton Maxwell Flitton
Author Profile Icon Maxwell Flitton
Maxwell Flitton
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Toc

Table of Contents (16) Chapters Close

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

Chapter 5: Creating a Rust Interface for Our pip Module

In Chapter 4, Building pip Modules in Python, we built a pip module in Python. Now, we will build the same pip module in Rust and manage the interface. Some people might prefer Python for some tasks; others will state that Rust is better. In this chapter, we will simply utilize both as and when we want. To achieve this, we will build a pip module in Rust that can be installed and directly imported into our Python code. We will also build Python entry points that talk directly to our compiled Rust code, and Python adapters/interfaces to make the user experience of our module easy, safe, and locked down with user interfaces (UIs) that have all features that we want our user to use.

In this chapter, we will cover the following topics:

  • Packaging Rust with pip
  • Building a Rust interface with the pyO3 crate
  • Building tests for our Rust package
  • Comparing speed with Python, Rust, and Numba

Covering these...

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