Dealing with dates

Dealing with dates is messy and complicated. You can recall the Y2K bug, the upcoming 2038 problem, and time zones dealing with different problems. In time-series datasets, we come across dates. pandas offers date ranges, resamples time-series data, and performs date arithmetic operations.

Create a range of dates starting from January 1, 2020, lasting for 45 days, as follows:

pd.date_range('01-01-2000', periods=45, freq='D')

Output:
DatetimeIndex(['2000-01-01', '2000-01-02', '2000-01-03', '2000-01-04',
               '2000-01-05', '2000-01-06', '2000-01-07', '2000-01-08',
               '2000-01-09', '2000-01-10', '2000-01-11', '2000-01-12',
               '2000-01-13', '2000-01-14', '2000-01-15', '2000-01-16',
               '2000-01-17', '2000-01-18', '2000-01-19&apos...