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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

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

Technical requirements

The code and data for this chapter can be found at https://github.com/PacktPublishing/Speed-up-your-Python-with-Rust/tree/main/chapter_eight.

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Authors (1)

Maxwell Flitton

Maxwell Flitton

Maxwell Flitton is a software engineer who works for the open source financial loss modeling foundation OasisLMF. In 2011, Maxwell achieved his Bachelor of Science degree in nursing from the University of Lincoln, UK. While working 12-hour shifts in the A&E departments of hospitals, Maxwell obtained another degree in physics from the Open University in the UK and then moved on to another milestone, with a postgraduate diploma in physics and engineering in medicine from UCL in London. He's worked on numerous projects such as medical simulation soft ware for the German government and supervising computational medicine students at Imperial College London. He also has experience in financial tech and Monolith AI.

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