Speed Up Your Python with Rust: Optimize Python performance by creating Python pip modules in Rust with PyO3

Flitton, Maxwell


Discover how to inject your code with highly performant Rust features to develop fast and memory-safe applications

Key Features:

  • Learn to implement Rust in a Python system without altering the entire system
  • Write safe and efficient Rust code as a Python developer by understanding the essential features of Rust
  • Build Python extensions in Rust by using Python NumPy modules in your Rust code

Book Description:

Python has made software development easier, but it falls short in several areas including memory management that lead to poor performance and security. Rust, on the other hand, provides memory safety without using a garbage collector, which means that with its low memory footprint, you can build high-performant and secure apps relatively easily. However, rewriting everything in Rust can be expensive and risky as there might not be package support in Rust for the problem being solved. This is where Python bindings and pip come in.

This book will help you, as a Python developer, to start using Rust in your Python projects without having to manage a separate Rust server or application. Seeing as you'll already understand concepts like functions and loops, this book covers the quirks of Rust such as memory management to code Rust in a productive and structured manner. You'll explore the PyO3 crate to fuse Rust code with Python, learn how to package your fused Rust code in a pip package, and then deploy a Python Flask application in Docker that uses a private Rust pip module. Finally, you'll get to grips with advanced Rust binding topics such as inspecting Python objects and modules in Rust.

By the end of this Rust book, you'll be able to develop safe and high-performant applications with better concurrency support.

What You Will Learn:

  • Explore the quirks of the Rust programming language that a Python developer needs to understand to code in Rust
  • Understand the trade-offs for multiprocessing and thread safety to write concurrent code
  • Build and manage a software project with cargo and crates
  • Fuse Rust code with Python so that Python can import and run Rust code
  • Deploy a Python Flask application in Docker that utilizes a private Rust pip module
  • Inspect and create your own Python objects in Rust

Who this book is for:

This book is for Python developers who want to speed up their Python code with Rust and implement Rust in a Python system without altering the entire system. You'll be able to learn about all topics relating to Rust programming. Basic knowledge of Python is required to get the most out of this book.



- 學習在不改變整個系統的情況下,在Python系統中實現Rust
- 通過了解Rust的基本功能,以Python開發人員的身份編寫安全高效的Rust代碼
- 使用Python NumPy模塊在Rust代碼中構建Python擴展


本書將幫助您作為Python開發人員,在Python項目中開始使用Rust,而無需管理單獨的Rust服務器或應用程序。由於您已經了解了函數和循環等概念,本書將介紹Rust的特殊之處,例如內存管理,以便以高效和結構化的方式編寫Rust代碼。您將探索PyO3 crate,將Rust代碼與Python融合,學習如何將融合的Rust代碼打包為pip包,然後在Docker中部署使用私有Rust pip模塊的Python Flask應用程序。最後,您將深入了解高級Rust綁定主題,例如在Rust中檢查Python對象和模塊。


- 探索Rust編程語言的特殊之處,這是Python開發人員需要了解的,以便在Rust中編寫代碼
- 了解多進程和線程安全性的權衡,以編寫並發代碼
- 使用cargo和crates構建和管理軟件項目
- 將Rust代碼與Python融合,以便Python可以導入和運行Rust代碼
- 在Docker中部署使用私有Rust pip模塊的Python Flask應用程序
- 在Rust中檢查並創建自己的Python對象