DjangCon 2022 | 🐍 ❤️ 🦀

Rust Python Security

Discover how Rust's unique ownership model, type system, and macros can improve the performance and memory safety of Python libraries, and learn how to integrate Rust with Python using the py03 package.

Key takeaways

Rust is a programming language known for its speed and memory safety, which is achieved through its ownership model that ensures memory is properly allocated and deallocated.
Rust is being used to improve the performance of certain Python libraries, such as the cryptography package, which uses Rust to parse X.509 certificates.
Rust’s type system can help prevent common errors such as buffer overflows and null pointer dereferences.
Python’s dynamic typing can lead to type errors, but Rust’s static typing can prevent these errors.
Rust’s ownership model can help ensure memory safety, which is lacking in languages like Python and C.
To integrate Rust with Python, a package called py03 can be used to create a Python module that can call Rust functions.
Rust’s macros can be used to simplify the process of writing Rust code that is compatible with Python.
Rust’s error handling is more robust than Python’s, with Rust’s panic! function allowing for more informative error handling.
Rust’s string manipulation is more efficient than Python’s, with Rust’s strings being immutable by default.

DjangCon 2022 | 🐍 ❤️ 🦀

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