Summary
This chapter introduced us to the pandas library, upon which the majority, if not all, time-series operations in Python are done. We have learned how to create a DataFrame, how to alter it, and how to persist it.
Pandas DataFrames are principally for high-performance bulk data manipulation, selecting and reshaping data. They are the Python version of Excel worksheets.
In the next chapter, we will investigate visualization in Python using Matplotlib.