Introduction
The roots of pandas lay in analyzing financial time series data. Time series are points of data gathered over time. Generally, the time is evenly spaced between each data point. However, there may be gaps in the observations. pandas includes functionality to manipulate dates, aggregate over different time periods, sample different periods of time, and more.