​​📘Speed Up Your Python with Rust: Optimize Python performance by creating Python pip modules in Rust with PyO3 ✍🏻Maxwell Flitton (2021) ▪️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... 👉🏻Скачать 📚@itlibrary