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Speed Up Your Python with Rust

You're reading from  Speed Up Your Python with Rust

Product type Book
Published in Jan 2022
Publisher Packt
ISBN-13 9781801811446
Pages 384 pages
Edition 1st Edition
Languages
Author (1):
Maxwell Flitton Maxwell Flitton
Profile icon Maxwell Flitton
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 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

Summary

In this chapter, we added a third-party pip module into our setup.py file so that we could add another entry point that could read .yml files. We read the .yml file and passed the data from that file in the form of a dictionary into our Rust functions, handling the complex data structure under the PyDict struct. We then downcasted data from our complex data structure into other Python objects and Rust data types. This gave us the power to handle a range of Python data types passed into our Rust code, giving us extra flexibility in how our Python code interacts with our Rust code.

We went one step further than complex Python data structures by accepting custom Python objects under the PyAny struct. Once we accepted custom Python objects, we could inspect attributes and set them as and when we wanted to. We even acquired the Python GIL to create our own Python data structures to help us work with the custom Python objects passed into our Rust code. To polish off our Python...

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