New IPython Notebooks: Getting Started and Linear Regression

I added two more IPython Notebooks.

The first is a Getting Started notebook with lots of advice on where to get python (anaconda or canopy), how to run IPython remotely (wakari.io and sagemathcloud.com), and where to find tutorials.

The second is an example showing four different ways to compute linear regression estimates with Python. Bottom line: for most problems, use statsmodels with the QR option.

See my IPython page for more information and to get the files.