On Sun, Dec 5, 2010 at 3:58 PM, Paul Anton Letnes < paul.anton.letnes@gmail.com> wrote:

Mabe I am wrong somehow, but in my experience the easiest install of scipy is 'port install py26-scipy'. For new users, I do not see why one would recommend to build manually from source? Macports can do it for you, automagically...

Well, by far the easiest method is to just grab a binary installer. The

other choices you have are build from source, or try to use Macports/Fink/Homebrew/easy_install/pip/buildout-recipe/<your-favorite-solution-here>. Those all rely on source builds as well, they're just hiding the details. Which makes things way more confusing when something goes wrong.

About Macports specifically, I haven't tried in a few years but certainly don't remember things always working out of the box. And AFAIK Homebrew is a replacement for Macports for many people because the latter was issues.

Cheers, Ralf

Paul

- des.. 2010 15.04 "Ralf Gommers" ralf.gommers@googlemail.com:
On Sat, Dec 4, 2010 at 9:47 PM, Fabian Pedregosa < fabian.pedregosa@inria.fr> wrote:

On Sat, Dec ...

I would prefer to just document the gcc_select solution, since it solves the problem at hand.

On the other hand, as installing on macports is not that trivial, I strongly feel that a sub...

The most up-to-date instructions are at http://www.scipy.org/Installing_SciPy/Mac_OS_X, so those should be updated as well. That said, if a "Macports" section is added there should be a strong disclaimer that it is *not* the recommended way to install numpy/scipy. A good portion of the build problems reported on these lists are related to Fortran on OS X, and a specific gfortran build at http://r.research.att.com/tools/ is recommended for a reason. If a user really wants to use Macports some notes in the docs may help, but let's not give the impression that it's a good/default option for a new user.

Cheers, Ralf

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