We've used the "inplace" parameter many times during this video series, but what exactly does it do, and when should you use it? In this video, I'll explain how "inplace" affects methods such as "drop" and "dropna", and why it is always False by default.

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== RESOURCES ==
GitHub repository for the series: https://github.com/justmarkham/pandas-videos
"drop" documentation: http://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.drop.html
"dropna" documentation: http://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.dropna.html
"set_index" documentation: http://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.set_index.html
"fillna" documentation: http://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.fillna.html

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