Re:Why I Still Use Python for High Performance Scientific Co...
by IanCal on Wednesday December 02, 2015 @09:39AM
(#10663148)
In fairness, I should point out that the really slow version was also written by me :)
Numpy and scipy have been the core of a huge amount of my optimisations. The first question I try and ask is
"Could this be solved with matrix multiplications and summing?"
Often the answer is "yes" and allows you to group a huge amount of calculations all together, and use the heavily optimised code available numpy/scipy.
I recently swapped out something that was running at about 100 rows calculated/second to about half a million in about 0.2s.