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Python's standard datetime module is versatile for handling date and time data, but when you're working with pandas, a powerful data manipulation library, you'll notice some differences.

For example, depending upon the necessity, one can use Pandas vectorisation or the ‘apply’ function instead of Python’s ‘for’ loops whenever possible. This, in most cases, enhances the speed by a few ...