On Mon, Dec 21, 2009 at 9:57 AM, Christopher Barker <chris.bar...@noaa.gov> wrote: > Dag Sverre Seljebotn wrote: >> I recently got motivated to get better linear algebra for Python; > > wonderful! > >> To me that seems like the ideal way to split up code -- let NumPy/SciPy >> deal with the array-oriented world and Sage the closer-to-mathematics >> notation. > > well, maybe -- but there is a lot of call for pure-computational linear > algebra. I do hope you'll consider building the computational portion of > it in a way that might be included in numpy or scipy by itself in the > future.
My personal opinion is that the LA status quo is acceptably good: there's maybe a bit of an adjustment to make for newbies, but I don't see it as a very big one, and this list strikes me as very efficient at getting people over little bumps (e.g., someone emails in: "how do you matrix-multiply two arrays?" within minutes (:-)) Robert or Charles replies with "np.dot: np.dot([[1,2],[3,4]],[[1,2],[3,4]]) = array([[7,10],[15,22]])"). Certainly any significant changes to the base should need to run the gauntlet of an NEP process. DG _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion