> How suitable or unsuitable is APL for matrix multiplication Matrix-multiply is just plus-dot-times or +.× > which language has faster execution times, Pytho

> How suitable or unsuitable is APL for matrix multiplication Matrix-multiply is just plus-dot-times or +.× > which language has faster execution times, Python or APL? This is tricky to answer. For most problems, I'd say APL, but this is isn't quite fair. A competent Python programmer who has made it "as fast as possible" without resorting to extensions will be creamed by a novice APL programmer, so you need to consider third-party modules like NumPy just to compete. Now NumPy is very well-optimised, but you'll really struggle to do well against k/q[1] an APLish that actually focuses on performance, and if you run into a problem where it doesn't, there are extensions you can use to eke out even more performance. At this point, you might try using Tensorflow -- which gives Python a great edge -- but are we really programming Python anymore? kdb+ can use Tensorflow as a library as well... [1]: http://tech.marksblogg.com/billion-nyc-taxi-kdb.html http://tech.marksblogg.com/billion-nyc-taxi-kdb.html fastest non-GPU