On Mon, Feb 26, 2018 at 8:53 AM, Seb <splu...@gmail.com> wrote: > On Sun, 25 Feb 2018 18:52:14 -0500, > Terry Reedy <tjre...@udel.edu> wrote: > > [...] > >> numpy has a matrix multiply function and now the '@' matrix multiply >> operator. > > Yes, but what I was wondering is whether there's a faster way of > multiplying each row (1x3) of a matrix by another matrix (3x3), compared > to looping through the matrix row by row as shown in the code. Perhaps > I'm not understanding how to use the broadcasting features of `matmul`.
I'm a bit of a numpy newb, but this sounds like numpy's "broadcasting" feature: http://lmgtfy.com/?q=numpy+broadcasting -- https://mail.python.org/mailman/listinfo/python-list
