
On Mon, Sep 16, 2013 at 7:01 PM, Russell E. Owen <rowen@uw.edu> wrote:
In article <CABL7CQg5vV_Vnp0hbdX+ys6Gt0nPWqehTH3mWb6j65OW9+13aA@mail.gmail.com>, Ralf Gommers <ralf.gommers@gmail.com> wrote:
On Mon, Sep 16, 2013 at 2:45 AM, <josef.pktd@gmail.com> wrote:
Hi All,
Numpy 1.8 is about ready for an rc1, which brings up the question of which binary builds so put up on sourceforge. For Windows maybe ... OS X 10.6 python 2.6, 2.7, 3.2, 3.3, compiled with native compiler,
with Accelerate. OS X 10.7 python 2.6, 2.7, 3.2, 3.3, compiled with native compiler,
with Accelerate. OS X 10.8 python 2.6, 2.7, 3.2, 3.3, compiled with native compiler,
with Accelerate.
That seems like a lot. It is fairly easy to compile from source on
On Sun, Sep 15, 2013 at 9:04 PM, Charles R Harris <charlesr.harris@gmail.com> wrote: linked linked linked the mac
these days, are all those binary packages really needed?
That's not exactly the right list - the same installers built on 10.6 also work on 10.7 and 10.8.
I agree. I'll chime in and give my recommendations, though Ralf is the expert:
David is our resident build/distribute guru actually.
For MacOS X I suggest building binary installers for python.org's python 2.7, 3.2 and 3.3 (the 64-bit versions). The result will run on 10.6 and later. It is safest to build these on MacOS X 10.6; it may work to build on a later MacOS X, but it sure doesn't for some packages.
Agreed. I think we discussed before not providing OS X 10.5 and python 2.6 binaries, that would make sense imho.
You will have to update to the latest bdist_mpkg to build Mac binary installers for python 3. I've not tried it yet.
I just tried, it's now possible to build 3.x binaries with a simple ``paver dmg -p 3.3``.
I don't think users expect a binary installer for Apple's python; I don't recall ever seeing these for numpy, scipy, matplotlib.... But if you do want to supply one,
We don't I think. Just python.org, keeps it simple. Cheers, Ralf
Apple provides Python 2.5, 2.6 and 2.7 but no 3.x (at least in MacOS X 10.8).
-- Russell
_______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion