[Numpy-discussion] Re: [SciPy-user] [SciPy-dev] Long live to numpy (and its list as well)

Sebastian Haase haase at msg.ucsf.edu
Fri Jan 6 10:15:09 CST 2006

On Friday 06 January 2006 09:34, Perry Greenfield wrote:
> Perhaps all discussions of the core stuff could go to numpy-discussion
> and the applications and libraries go to scipy-discussion. That
> segregation often doesn't work and you still get all the cross-posting
> anyway. But I would think that it would be important to have the core
> element highlighted in the name since that user base will be bigger
> than the scipy one by necessity.
> Perry
Reading this I would second the idea of keeping two lists: if and only if the 
total number of people exceeds a certain limit (which I think was the 
original statement that that is not the case -- is there some statistics of 
how many (active) people are subscribed to each list)

Also I would like to point out that the way Perry wrote his posting
the "scipy"(!) list should soon be the larger one, because "applications and 
libraries" is the reason we all do this in the first place and the underlying 
"numpy" would "just be working" - at least as most people will 

- Sebastian Haase

> On Jan 5, 2006, at 5:03 PM, Francesc Altet wrote:
> > A Dijous 05 Gener 2006 20:59, Christopher Barker va escriure:
> >> Colin J. Williams wrote:
> >>> It seems to me that NumPy is the better way to go, the archives and
> >>> downloads are more readily available there, but it's up to Todd
> >>> Miller
> >>> and the folk who have been maintaining NumPy.
> >>>
> >>> NumPy has been around for a while, probably longer than SciPy.
> >>
> >> I, for one, am only subscribed to the NumPy list, and have been for
> >> years. I don't know how much non-NumPy stuff there is on the SciPy
> >> list,
> >> but while I do use NumPy for Scientific stuff, I don't use the rest of
> >> SciPy (because, frankly, it's always been a pain in the @#! to
> >> install)
> >> and I don't need another high-traffic list.
> >
> > Yeah, I was thinking in people like you. In fact, I'm myself in the
> > same case than you: I'm very interested in a basic array module
> > (Numeric/numarray/numpy) and not so much in more powerful (but
> > complex) packages like scipy. And I think there can be a lot of people
> > out there that can be in the same position.
> >
> > Accordingly, my vote is also:
> >
> > +1 numpy-discussion

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