On Dec 4, 2013, at 11:35 PM, Ralf Gommers <ralf.gomm...@gmail.com> wrote
I'm just wondering how much we are making this hard for very little return. I also don't know. I wonder if a poll on the relevant lists would be helpful... I'll start playing with wheels in the near future. Great! Thanks! There are multiple ways to get a win64 install - Anaconda, EPD, WinPython, Christoph's installers. So there's no big hurry here. well, this discussion is about pip-installability, but yes, some of those are python.org compatible: I know I always point people to Christoph's repo. > [Side note: scipy really shouldn't be a monolithic package with everything > and the kitchen sink in it -- this would all be a lot easier if it was a > namespace package and people could get the non-Fortran stuff by > itself...but I digress.] > Namespace packages have been tried with scikits - there's a reason why scikit-learn and statsmodels spent a lot of effort dropping them. They don't work. Scipy, while monolithic, works for users. True--I've been trying out namespace packages for some far easier problems, and you're right--not a robust solution. That really should be fixed--but a whole new topic! Note on OS-X : how long has it been since Apple shipped a 32 bit machine? >>> Can we dump default 32 bit support? I'm pretty sure we don't need to do PPC >>> anymore... >>> >> >> I'd like to, but we decided to ship the exact same set of binaries as >> python.org - which means compiling on OS X 10.5/10.6 and including PPC + >> 32-bit Intel. >> > > no it doesn't -- if we decide not to ship the 3.9, PPC + 32-bit Intel. > binary -- why should that mean that we can't ship the Intel32+64 bit one? > But we do ship the 32+64-bit one (at least for Python 2.7 and 3.3). So there shouldn't be any issue here. Right--we just need the wheel. Which should be trivial for numpy on OS-X -- not the same sse issues. Thanks for working on this. - Chris
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