[SciPy-User] Pylab - standard packages
Fri Sep 21 16:00:19 CDT 2012
On Fri, Sep 21, 2012 at 10:49 PM, David Cournapeau <email@example.com>wrote:
> On Fri, Sep 21, 2012 at 6:47 PM, Skipper Seabold <firstname.lastname@example.org>
> > On Fri, Sep 21, 2012 at 1:36 PM, Thomas Kluyver <email@example.com>
> >> On 21 September 2012 18:15, Skipper Seabold <firstname.lastname@example.org>
> >> > This sounds great. A few others I usually put in a fresh install.
> >> >
> >> > mpmath
> >> > sphinx
> >> I don't know about mpmath. I probably wouldn't include Sphinx in the
> >> spec, as it's important more when you're developing and releasing
> >> packages. But it does return us to the question about general-purpose
> >> Python packages. Should we require distribute, for example - or just
> >> specify that there must be a package installation mechanism? What
> >> about popular tools like requests? Or things like GUI toolkits that
> >> are difficult to install separately? Although PyQt would rather
> >> increase the minimum size.
> > I like the idea of trying to emulate something like R's install.package
> > (eventually). This, to me, is one of the reasons it's so successful. The
> > target audience, as I think it is for pylab, is users - people that are
> > proficient at writing scripts and generally smart problem solvers but not
> > necessarily extremely great programmers. For example, I don't think
> > an assumption that the average R user has working knowledge of how to
> > a package from scratch. Developers, on the other hand, don't need too
> > hand holding to get the other tools they need - e.g., compilers, sphinx
> > probably falls in here, etc. If having things like distribute in the
> > helps move us in this direction (would it?), then I think that's a good
> > argument for including it.
> I don't think distribute (which is just setuptools with a different
> set of bugs) is a solution to any problem we are facing. I agree R
> install.package is a killer feature. FWIW, that has always been part
> of what I want to achieve with bento (I spent quite a bit of time
> around R system when annoucing what would become bento at scipy india
> in 2009).
So how far off is bentoshop?
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