Hi Colin,

I honestly have no idea what you're trying to insinuate about the
connection between the Space Telescope, SciPy, and scikit-learn (??), but I
don't think it's helping anything. Nor is simply posting over and over in
different forums that you like Matrix and Vector classes. We know that now
:-). But just saying that is not going to convince anyone to like them with
you.

Realistically, my best guess is that nothing you say is likely to convince
anyone of anything, given that np.matrix has come to its present state of
poor reputation through years of experience, and it isn't clear you even
understand why most numpy developers and users are convinced that the
approach is fundamentally flawed and unfixable. But if you really want to
try, then the place to do that is the numpy-discussion list, and the way to
do that is to understand and engage with specific the problems people have
raised.

Hope that helps,
-n

On Thu, Apr 10, 2014 at 1:54 PM, Colin J. Williams <notifications@github.com
> wrote:

> In doc/neps/return-of-revenge-of-matmul-pep.rst:
>
> > +much larger than both projects put together (stdlib: 411575 SLOC,
> > +scikit-learn: 50924 SLOC, nipy: 37078 SLOC). [#sloc-details]
> > +
> > +The **dot** row (marked ``******``) counts how common matrix multiply
> > +operations are in each codebase.
> > +
> > +::
> > +
> > +    ====  ======  ============  ====  ========
> > +      op  stdlib  scikit-learn  nipy  combined
> > +    ====  ======  ============  ====  ========
> > +       =    2969          5536  4932      3376 / 10,000 SLOC
> > +       -     218           444   496       261
> > +       +     224           201   348       231
> > +      ==     177           248   334       196
> > +       *     156           284   465       192
>
> On 09-Apr-2014 3:38 PM, Lars Buitinck wrote: In
> doc/neps/return-of-revenge-of-matmul-pep.rst: +much larger than both
> projects put together (stdlib: 411575 SLOC,
>  +scikit-learn: 50924 SLOC, nipy: 37078 SLOC). [#sloc-details] + +The
> **dot** row (marked ``******``) counts how common matrix multiply
> +operations are in each codebase. + +:: + + ==== ====== ============ ====
> ======== + op stdlib scikit-learn nipy combined + ==== ====== ============
> ==== ======== + = 2969 5536 4932 3376 / 10,000 SLOC + - 218 444 496 261 + +
> 224 201 348 231 + == 177 248 334 196 + * 156 284 465 192
> I don't think any of the sklearn uses of * is a matrix multiplication. —
> Reply to this email directly or view it on GitHub. Perhaps this is because
> much of the SciPy was developed before the the Numarray (Space Telescope)
> people took over the maintenance. It seems to me that  there is merit in
> recognizing the Matrix, and perhaps the Vector, as separate data types
> (Classes). Colin W. Colin W.
>
> —
> Reply to this email directly or view it on GitHub<https://github.com/numpy/numpy/pull/4351/files#r11482704>
> .
>



-- 
Nathaniel J. Smith
Postdoctoral researcher - Informatics - University of Edinburgh
http://vorpus.org