[SciPy-dev] Scipy Compile and Testing Problem from SVN
Sun Apr 12 22:36:32 CDT 2009
On Sat, Apr 11, 2009 at 6:05 PM, Charles R Harris
> On Sat, Apr 11, 2009 at 3:45 PM, Gael Varoquaux
> <email@example.com> wrote:
>> On Sat, Apr 11, 2009 at 02:17:06PM -0400, Skipper Seabold wrote:
>> > First before I get into the last few things that I can think of, sorry
>> > for all the questions. If the next few steps don't work, I am open to
>> > switching Linux distributions and seeing if I have more luck because I
>> > am about at the end of my abilities (and time constraint). I have
>> > seen that Debian-based distributions are usually better for Scipy and
>> > the extensions. Is there a particular "flavor" that is popular for
>> > Scipy developers?
>> Stick with mainstream: use Debian or Ubuntu.
>> I use Ubuntu on most of my boxes, because I like the 6 months release
>> strategy. Debian stable is usually too old for me (although I do run one
>> of my server under it). I've also had good experiences with Debian
>> unstable, though I find it lack the polish of Ubuntu, and is very
>> slightly more of a moving target.
Thanks for the suggestions. I've got the development versions of both
numpy and scipy up and running on Kubuntu Jaunty 64-bit (I really like
where KDE 4.x is headed). It didn't go completely without hiccups,
but it was pretty straightforward.
I receive the same test results as is found here
at least it's a start.
> And I prefer Fedora because it isn't a pain to install on software raid1 and
> doesn't require an hour or two to set up for software development. Suse was
> my favorite years ago, I wonder what happened?
Hope I'm not too off topic, but there are some good things going on
with openSUSE. Yast is a pretty helpful tool in particular, but it
doesn't seem like they're too focused on scientific computing. IIRC
from the forums, a few people had left over the years after problems
with LAPACK specifically. Probably some people on here. I should've
> Ubuntu is easiest to upgrade, however, and the unfree codecs and video
> drivers are easier to install.
I was pleasantly surprised at the handling of this. The community
seems to be a little better organized as well. I see why they say
it's the preferred route for new Linux users.
More information about the Scipy-dev