[jeffbr13]

Python already contains separate date and time objects for this purpose[1][2]!

[1]: https://docs.python.org/3/library/datetime.html#date-objects [2]: https://docs.python.org/3/library/datetime.html#time-objects

[BoppreH]

I think that would only work for day long ranges. What if I want the events that happened in the last hour, or that are scheduled for May?

[jeffbr13]

Combine pure dates and times with timedelta[1]? Python's multiple comparison expressions help here too.

For events in the last hour, the following expression should evaluate to True:

    (datetime.now() - timedelta(hours=1)) <= event_datetime 

Checking whether event_datetime is within May of the current year is a bit more involved, but you may not need to convert everything to a date (would have to check in an interpreter):

     date.today().replace(month=5, day=1) <= event_datetime.date() <= date.today().replace(month=5, day=31)

The point is that the language already has good support for sensible time operations, but it's parsing is weak. And there's Arrow for that[2]!

[1]: https://docs.python.org/3/library/datetime.html#timedelta-ob... [2]: http://arrow.readthedocs.io/en/latest/

[RubyPinch]

probably would be easier to hide it away in a small class with `__contains__`

    event_datetime in daterange(timedelta(hours=1), before=datetime.now())

[robochat]

The pandas library has a period data type if you're looking for one.