Making Python 100x faster with less than 100 lines of RustA 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. Our system also has to work on-prem with limited CPU resources, and while at first
