[Numpy-discussion] IDL vs Python parallel computing

Hi all I noticed IDL uses at least 400% (4 processors or cores) out of the box for simple things like reading and processing files, calculating the mean etc. I have never seen this happening with numpy except for the linalgebra stuff (e.g lapack). Any comments? Thanks, Siegfried -- The U

Re: [Numpy-discussion] Second order gradient in numpy

I recently tried diff and gradient for some medical time domain data, and the result nearly looked like pure noise. I just found this after seeing John Agosta's post https://gist.github.com/mblondel/487187 """ Find the solution for the second order differential equation u'' = -u with u(0) = 1