On Mon, Feb 26, 2018 at 2:07 PM, Ian Kelly <ian.g.ke...@gmail.com> wrote: > On Mon, Feb 26, 2018 at 2:40 PM, Dan Stromberg <drsali...@gmail.com> wrote: >> 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 > > Taking LMGTFY to a whole new level of rudeness by obviously not even > bothering to read the entire paragraph before responding.
Is LMGTFY rude? I think maybe it was back when it said "Now, was that so hard?", but today there's no snarkiness to be found on the site, AFAIK. Also, like I said, I'm a numpy newbie. If I misunderstood the question, that's probably why. -- https://mail.python.org/mailman/listinfo/python-list
