This code snippet uses the `pandas` and `datetime` libraries in...

This code snippet uses the pandas and datetime libraries in Python to calculate a date that is approximately 8 years before today. Here's a step-by-step explanation:

1. pd.to_datetime('today'):

   • This converts the current date and time (i.e., today's date) into a Pandas Timestamp object. The variable YEAR_END_THEN will hold a Pandas Timestamp object corresponding to the current date and time.

2. timedelta(days=8*365):

   • The timedelta object is used to represent a duration of time, specifically 8 years here. This is calculated by assuming each year has 365 days (ignoring leap years). It results in a timedelta object equivalent to 8 years expressed in days.

3. YEAR_END_THEN - timedelta(days=8*365):

   • This subtracts the timedelta (8 years or 2920 days) from the current date held in YEAR_END_THEN. The subtraction results in a new date that is approximately 8 years before the current date.

4. YEAR_START_NOW:

   • This variable is assigned the computed date, which is 8 years before today.

Summary:

The code calculates the date that is approximately 8 years prior to today's date and stores it in the variable YEAR_START_NOW.