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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

Questions

  1. How do you extract a vector of i32 integers from a PyDict struct?
  2. If we have a vector of strings but we apply a .extract::<Vec<i32>>()  function on it and we directly unwrap it, what will happen?
  3. How would you be able to loop through a Vec<i32> vector, doubling each item and packaging the results in another vector in one line of Rust code?
  4. If we acquire the Python GIL to create a PyDict struct, will this affect the Python system in any way?
  5. Although our Python classes built in our Rust code essentially run the same way as our pure Python classes, there are some core differences. What are they?
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