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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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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 7: Using Python Modules with Rust

We have now become comfortable with writing Python packages in Rust that can be installed using pip. However, a large advantage of Python is that it has a lot of mature Python libraries that help us write productive code with minimal errors. This seems a legitimate observation that could halt us from adopting Rust in our Python system. However, in this chapter, we counter this observation by importing Python modules into our Rust code and running Python code in our Rust code. To achieve an understanding of this, we are going to use the NumPy Python package to implement a basic mathematical model. Once this is done, we are going to use the NumPy package in our Rust code to simplify the implementation of our mathematical model. Finally, we will evaluate the speed of both implementations.

In this chapter, we will cover the following topics:

  • Exploring NumPy
  • Building a model in NumPy
  • Using NumPy and other Python modules in Rust...
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