On Feb 10, 2015 1:03 AM, "cjw" <[email protected]> wrote: > > > On 09-Feb-15 2:34 AM, Stefan Reiterer wrote: >> >> Ok that are indeed some good reasons to keep the status quo, especially since >> performance is crucial for numpy. >> It's a dillemma: Using the matrix class for linear algebra would be the correct >> way for such thing, >> but the matrix API is not that powerful and beautiful as the one of arrays. >> On the other hand arrays are beautiful, but not exactly intended to use for >> linear algebra. >> So maybe the better way would be not to add warnings to braodcasting operations, >> but to overhaul the matrix class >> to make it more attractive for numerical linear algebra(?) > > +1 > I hope that this will be explored. @ could still be used by those who wish remain in the array world. >
What about splitting it off into a scikit, or at least some sort of separate package? If there is sufficient interest in it, it can be maintained there. If not, at least people can use it as-is. But there would not be any expectation going forward that the rest of numpy has to work well with it.
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