Speed Up Your Python with Rust
Optimize Python performance by creating Python pip modules in Rust with PyO3
Created by Maxwell Flitton
Discover how to boost your Python application's speed and efficiency by integrating Rust. Learn to use PyO3 to create Python modules in Rust, package them for pip, and deploy them in real-world projects. This course is designed for Python developers ready to take their performance to the next level.
Packt | Jan 2022 | 384 min
What You Will Learn
You will start by exploring Rust from a Python developer's perspective, focusing on key differences and practical integration. Step by step, you'll use PyO3 to connect Rust with Python, package your work for pip, and deploy it in a Dockerized Flask app. Advanced sections cover concurrency, memory management, and inspecting Python objects from Rust.
Key Features
- Integrate Rust code into Python projects for improved speed and memory safety
- Package Rust modules as pip-installable Python extensions using PyO3
- Deploy Python applications using custom Rust modules in Docker environments
Target Audience
Perfect for Python developers with intermediate experience who want to optimize performance without rewriting entire systems. If you have a solid grasp of Python and are curious about using Rust for speed and safety, you'll gain practical skills to extend your projects and deploy robust, high-performance applications.
