Making Python 100x faster with less than 100 lines of Rust
Update: I gave a talk on this topic at P99 CONF 2023 and at PyCon IL 2024 (Hebrew). A while ago at $work, we had a performance issue with one of our core Python libraries. This particular library forms the backbone of our 3D processing pipeline. It’s a rather big and complex library which uses NumPy and other scientific Python packages to do a wide range of mathematical and geometrical operations.
