In this video, I'm answering a few of the pandas questions I've received in the YouTube comments:
0:18 When reading from a file, how do I read in only a subset of the columns or rows?
2:53 How do I iterate through a Series or a DataFrame?
4:24 How do I drop all non-numeric columns from a DataFrame?
6:03 How do I know whether I should pass an argument as a string or a list?

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== RESOURCES ==
GitHub repository for the series: https://github.com/justmarkham/pandas-videos
"read_csv" documentation: http://pandas.pydata.org/pandas-docs/stable/generated/pandas.read_csv.html
"iterrows" documentation: http://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.iterrows.html
"select_dtypes" documentation: http://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.select_dtypes.html
"describe" documentation: http://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.describe.html

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