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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

Utilizing and testing our package

We have started building out our solution in a Python package coded in Rust. However, we need to justify to our team and ourselves that all this effort was worth it. We can test to see whether we should continue with our efforts in a single isolated Python script. In this Python script, we can test by following these steps:

  1. Build a Python construct model using pandas.
  2. Build random event ID generator functions.
  3. Time our Python and Rust implementations with a series of different data sizes.

Once we have carried out all the aforementioned steps, we will know whether we should progress further with our module.

In our testing script, before we start coding anything, we must import all of what we need with the following code:

import random
import time
import matplotlib.pyplot as plt
import pandas as pd
from flitton_oasis_risk_modelling import construct_model

Here, we are using the random module to generate random event IDs...

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