A few questions that could be clarified in the Docs

[jordancluts]

The docs recommend Using each of TimeZones, CompoundPeriods, TimesDates, and Dates at various points. Can TimesDates stand alone or is it just an augmentation of Dates? My guess would be that it is an augmentation and full functionality requires both TimesDates and Dates but I could be wrong.

Conversely my reading would have me guess that I don't have to load TimeZones if I am uninterested in timezone support. (I happen to not be).

I'm not sure either way on CompoundPeriods.

Is there the potential to add a flexible parser ala DateFormat but compatible with the higher range of TimeDates?

I haven't actually used TimesDates yet but having found it now I hope to use it in the future to avoid having both Date and Time columns in a DataFrame since my Time values are 100microsecond resolution typically.

[jordancluts]

Just wanted to follow up that I'm really happy to have found this package and that there has been some development in this space.