On Fri, May 15, 2015 at 6:56 PM, <josef.p...@gmail.com> wrote: > > > On Fri, May 15, 2015 at 4:07 PM, Chris Barker <chris.bar...@noaa.gov> > wrote: > >> Hi folks., >> >> I did a little "intro to scipy" session as part of a larger Python class >> the other day, and was dismayed to find that "pip install numpy" still >> dosn't work on Windows. >> >> Thanks mostly to Matthew Brett's work, the whole scipy stack is >> pip-installable on OS-X, it would be really nice if we had that for Windows. >> >> And no, saying "you should go get Python(x,y) or Anaconda, or Canopy, >> or...) is really not a good solution. That is indeed the way to go if >> someone is primarily focusing on computational programming, but if you have >> a web developer, or someone new to Python for general use, they really >> should be able to just grab numpy and play around with it a bit without >> having to start all over again. >> > > Unrelated to the pip/wheel discussion. > > In my experience by far the easiest to get something running to play with > is using Winpython. Download and unzip (and maybe add to system path) and > most of the data analysis stack is available. > > I haven't even bothered yet to properly install a full "system python" on > my Windows machine. I'm just working with 3 winpython. (One even has Julia > and IJulia included after following the installation instructions for a > short time.) >
+1 on WinPython. I have half a dozen "installations" of it, none registered with Windows. Jaime -- (\__/) ( O.o) ( > <) Este es Conejo. Copia a Conejo en tu firma y ayúdale en sus planes de dominación mundial.
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