How do I select multiple rows and columns from a pandas DataFrame?

Have you ever been confused about the "right" way to select rows and columns from a DataFrame? pandas gives you an incredible number of options for doing so, but in this video, I'll outline the current best practices for row and column selection using the loc, iloc, and ix methods.

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== RESOURCES ==
GitHub repository for the series: https://github.com/justmarkham/pandas-videos
"loc" documentation: http://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.loc.html
"iloc" documentation: http://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.iloc.html
"ix" documentation: http://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.ix.html
Summary of the pandas API for selection: https://github.com/pydata/pandas/issues/9595

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