On Thu, Jan 23, 2014 at 12:16:02PM +0000, Paul Moore wrote: > > The official numpy installer uses some complex magic to select the > right binaries based on your CPU, and this means that the official > numpy "superpack" wininst files don't convert (at least I don't think > they do, it's a while since I tried).
It's probably worth noting that numpy are toying around with wheels and have uploaded a number of them to PyPI for testing: http://sourceforge.net/projects/numpy/files/wheels_to_test/ Currently there are only OSX wheels there (excluding the puer Python ones) and they're not available on PyPI. I assume that they're waiting for a solution for the Windows installer (a post-install script for wheels). That would give a lot more impetus to put wheels up on PyPI. The Sourceforge OSX wheels are presumably not getting that much use right now. The OSX-specific numpy wheel has been downloaded 4 times in the last week: twice on Windows and twice on Linux! > But happily, Christoph Gohlke hosts a huge list of readymade wininst > installers for hard-to-build projects, and the 3 you mention are all > there. He's very good about building for latest Pythons, too (3.4 is > already there for many packages). Anyone working on Windows who > doesn't know his site > (http://www.lfd.uci.edu/~gohlke/pythonlibs/) should check it out. Also I've seen Cristoph mention on the numpy-discussion list that he was at leasting testing building wheels although none seem to be available on his site at the moment. Oscar _______________________________________________ Distutils-SIG maillist - Distutils-SIG@python.org https://mail.python.org/mailman/listinfo/distutils-sig
