The datetime variables offer value individually and they offer more value collectively when used together with other datetime variables to derive important insights. The most common example consists in deriving the age from the date of birth and today variable, or the day the customer had an accident or requested a loan. Like these examples, we can combine several datetime variables to derive the time that passed in between and create more meaningful features. In this recipe, we will learn how to capture the time between two datetime variables in different formats and the time between a datetime variable and the current day, utilizing pandas, NumPy, and the datetime library.
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