On Sat, Jan 7, 2017 at 4:35 PM, Ralf Gommers <ralf.gomm...@gmail.com> wrote:
> > > On Sun, Jan 8, 2017 at 12:26 PM, Charles R Harris < > charlesr.har...@gmail.com> wrote: > >> >> >> On Sat, Jan 7, 2017 at 2:29 PM, Ralf Gommers <ralf.gomm...@gmail.com> >> wrote: >> >>> >>> It looks to me like we're getting a bit off track here. The sparse >>> matrices in scipy are heavily used, and despite rough edges pretty good at >>> what they do. Deprecating them is not a goal. >>> >>> The actual goal for the exercise that started this thread (at least as I >>> see it) is to remove np.matrix from numpy itself so users (that don't know >>> the difference) will only use ndarrays. And the few users that prefer >>> np.matrix for teaching can now switch because of @, so their preference >>> should have disappeared. >>> >>> To reach that goal, no deprecation or backwards incompatible changes to >>> scipy.sparse are needed. >>> >> >> What is the way forward with sparse? That looks like the biggest blocker >> on the road to a matrix free NumPy. I don't see moving the matrix package >> elsewhere as a solution for that. >> > > Why not? > > Because it doesn't get rid of matrices in SciPy, not does one gain a scalar multiplication operator for sparse. Chuck
_______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org https://mail.scipy.org/mailman/listinfo/numpy-discussion
