Time series data is an important form of structured data in many different fields, such as finance, economics, ecology, neuroscience, or physics.

Anything that is observed or measured at many points in time forms a time series.

The frequency at which time-series data is measured can be regular, such as every 15 seconds, every 5 minutes, or once per month or irregular without a fixed unit or time or offset between units.

In this tutorial, we are going to explore the basics of time series using pandas. Pandas provides us some very useful tools and algorithms to deal with very large time series data.