[SciPy-user] Arrayfns in numpy?
Wed Mar 14 10:33:44 CDT 2007
Interesting discussion. I'd obviously prefer that the copy/paste takes
place, but I'd like to know what's going to happen now that the
discussion has taken place.
On 3/7/07, Travis Oliphant <email@example.com> wrote:
> Alan Isaac wrote:
> >Matthieu Brucher wrote:
> >>I'm opposed to this as well, interpolation is not linear algebra, it is
> >>signal processing, and as Souheil said, why not nd-interpolation with
> >>B-Splines then ?
> >I am not taking sides on this issue, but I do
> >take issue with trying to settle it with this
> >kind of "argument". A rhetorical question does
> >not set out the issues. For example, treating
> >a rhetorical question as a real question for a
> >moment, one might respond that a simple 1-d
> >interpolation would
> >- find wide use among people who need nothing more
> >- enhance backward compatibility
> >- impose minimum maintenance requirements
> >Again, I am not taking sides on the issue, so I
> >am in no way suggesting that such points are
> >decisive. However opposition that fails to
> >address such points is hardly decisive either.
> >My point of reference would be: if it is likely
> >to drain even modest developer effort away from
> >core NumPy issues, then it is harmful. Otherwise
> >it is harmless as long as it introduces no new
> This is an impoirtant point for me. I'm only considering adding interp
> because it's already done and just a matter of cut-and-paste.
> My take on this, is that I would rather use developer time to make scipy
> more modular and easier to install (this usually translates to binary
> builds for multiple platforms). That way you could grab just the
> modules of interest. Ideally, grabbing these modules is a matter of
> using setuptools (or some other package management concept) to do it
> automatically as needed.
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