Installing NumPy and SciPy on Mac OSX 10.8 (Mountain Lion)30 Jan 2013
I am playing with ExpEyes, which is awesome tool for anyone who wants to learn electronics (and physics).
ExpEyes comes with software (written in python) for GNU/Linux and Windows. I intend to run it on Mac OSX, because it can (provided all dependencies are met).
It is generally easy to install python packages on OSX using easy_install or pip, however, installing NumPy and SciPy turned out to be pain on OSX (10.8.2, latest version the time of posting).
In my case, I am using python binary installed via homebrew, so I can't take advantage of numpy (which comes installed with mountain-lion).
I have XCode 6 installed, which comes with gcc-4.2.1 (llvm build). I figured out, I can build numpy and scipy from source.
Following is what I did to build numpy and scipy. SciPy requires gfortran, so that has to be installed (I used homebrew to do that):
$ git clone https://github.com/numpy/numpy.git $ git clone https://github.com/scipy/scipy.git $ cd numpy $ python setup.py build && python setup.py install $ brew install gfortran $ cd ../scipy $ python setup.py build && python setup.py install
BTW! In case, you are wondering, why didn't I use Scipy Superpack script, which indeed makes job easier?
I didn't, because I want to install gnu/unix packages using homebrew, and I already have git and other things. Super Spicypack downloads (gfortran, etc.), builds and installs packages directly to system, making it harder to remove those later? Homebrew makes job easier.