Using the pandas python library requires a shift in thinking that is not always intuitive to those who use it. This talk will take a deep dive into the underlying data structure of pandas to explain why it performs the way it does under certain circumstances. It will explain why a MultiIndex DataFrame takes up less memory than it’s simple counter part, why groupby should never be run on a non-MultiIndexed DataFrame, why the example documentation for the pandas apply function is an example …