Python developers are starting to leverage Rust, a systems programming language, to optimize their code’s performance and safety. Rust offers features like memory safety, thread safety, and zero-cost abstractions, making it an excellent choice for building high-performance libraries. Several popular Python libraries, like Polars, TikToken, River, and HyperJSON, are either fully or partially written in Rust, and they are providing faster and more efficient implementations of functionality that is critical to many Python applications. These libraries are valuable tools for developers looking to optimize their Python code for speed and efficiency.

source update: Better Together Four Examples of How Rust Makes Python Better – Towards AI


There are no comments yet.

Leave a comment