[takluyver]

Installing numpy with pip isn't recommended: it might not work (if you don't have the necessary development headers to compile it), the resulting numpy might be slower (if it hasn't managed to compile against properly optimised libraries) and compiling from source isn't a very quick way to install it.

For most users, the easiest way to get set up is a complete Python distribution, like Anaconda, EPD or Python(x,y). See the Scipy Stack installation page:

http://scipy.github.com/install.html

[jmmcd]

I have wasted so many hours failing to get everything I need to work on OSX 10.6. I tried pip, easy_install, install from source, brew, Enthought. Now Anaconda has just saved my life, thank you! It was the best moment of my day when I was able to type all this without error:

    >>> import numpy as np
    >>> import scipy as sp
    >>> import statsmodels as sm
    >>> import matplotlib as mpl
    >>> import pandas as pd
    >>> import networkx as nx
    >>> import sklearn as sk
    >>> import nltk