标题： Rust 与 C 对于 Python 库：评估 Rust 兼容绑定工具链 显示英文标题

标题： Rust vs. C for Python Libraries: Evaluating Rust-Compatible Bindings Toolchains

摘要： Python编程语言以其语法和科学库而闻名，但同时也因其缓慢的解释器而臭名昭著。 在Python中优化关键部分需要了解编程语言之间的二进制交互，手动接口可能很麻烦，实现者常常求助于复杂的第三方库。 这项比较研究评估了Rust对Python绑定工具链PyO3的性能和易用性与ctypes和cffi的对比。 通过使用为Python开发的Rust工具，我们可以实现最先进的性能，而无需担心API兼容性。 显示英文摘要

摘要： The Python programming language is best known for its syntax and scientific libraries, but it is also notorious for its slow interpreter. Optimizing critical sections in Python entails special knowledge of the binary interactions between programming languages, and can be cumbersome to interface manually, with implementers often resorting to convoluted third-party libraries. This comparative study evaluates the performance and ease of use of the PyO3 Python bindings toolchain for Rust against ctypes and cffi. By using Rust tooling developed for Python, we can achieve state-of-the-art performance with no concern for API compatibility.