Python extensions in Rust -- Lessons learned from upgrading a bioinformatics package

A year ago, I upgraded our Python bioinformatics package from C++ to Rust. Here is a new article about the lessons learned:

Towards Data Science Nine Rules for Writing Python Extensions in Rust (alt link)

Along with suggestions about PyO3, file layout, memory allocation, testing, etc, the article gives examples of

• translating nice Rust errors to nice Python errors
• using Rayon/ndarray::parallel while returning all errors
• letting users control the number of parallel threads
• translating Python dynamic types to Rust generic function

Thank you Rust & Rayon for letting Bed-Reader escape from C++/OpenMP runtime compatibility hell!