I use numpy/scipy for everything I do by default, but not all operations can leverage it unfortunately.
So what I mean is that the python program leveraged numpy to the greatest possible extent (that I know how), but was nonetheless 1000x slower than the C++ program that produced the same output. I am not making any claim that particular operations like summing up an array or doing an FFT is 1000x faster in C++ than in numpy. Of course it's not. In this case, numpy calls were certainly not the bottleneck, so it would be wrong to say "1000x faster than numpy". But it was, on the whole, 1000x faster than Python leveraging numpy.
