1) Mining the Social Web by Matthew A. Russell

2) Probabilistic Programming and Bayesian Methods for Hackers by Cameron Davidson-Pilon

3) Parallel Machine Learning Tutorial by Olivier Grisel

4) 538 Election Forecasting Model by Skipper Seabold

5) Six Degrees of Kevin Bacon by Brian Kent

6) Get Close to Your Data with Python and JavaScript by Brian Granger

7) Regex Golf by Peter Norvig

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Datalicious Notebookmania – My favorite 7 IPython Notebooks _ Beautiful Data.pdf
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URL：http://beautifuldata.net/2014/03 ... -ipython-notebooks/