Difference on performance between numpy and matlab

Question

I am computing the backpropagation algorithm for a sparse autoencoder. I have implemented it in python using numpy and in matlab. The

Answer 1

Difference in performance between numpy and matlab have always frustrated me. They often in the end boil down to the underlying lapack libraries. As far as I know matlab uses the full atlas lapack as a default while numpy uses a lapack light. Matlab reckons people dont care about space and bulk, while numpy reckons people do. Similar question with a good answer.