I wouldn't voluntarily touch K/Q ever again, but if someone else is interested in doing a blog post: try implementing any iterative machine learning algorithms.

I wouldn't voluntarily touch K/Q ever again, but if someone else is interested in doing a blog post: try implementing any iterative machine learning algorithms. The separate compilation of primitive operators requires creating many array temporaries that on the one hand, Matlab's JIT can fuse and, on the other hand, NumPy provides a richer set of compiled functions to work with. K/Q lets you (tersely) express complex array computations using just its core operators, but all those array constructions add up to comparatively bad performance.