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> It's puzzling why this doesn't wrap np.datetime64 instead. Perhaps to avoid the numpy dependency. I've found numpy a bit heavy and wouldn't want to depend on
by aangjie 10y ago
> It's puzzling why this doesn't wrap np.datetime64 instead.
Perhaps to avoid the numpy dependency. I've found numpy a bit heavy and wouldn't want to depend on it simply for the sake of some datetime syntax. May be boost.datetime or even numpy's implementantion on datetime, but that sounds like a lot of maintenance.
- guitarbill 10y agoAgree, 100%. E.g. numpy in a virtual environment can be a real pain. Best case, it takes a bit longer to install. Worst case, it's on a system that's missing some OS specific dependencies. "Works for me" is not okay for stuff on PyPI.
- aangjie 10y agoHmm.. that's making me rethink that 'datascienceutils' project I put up on pypi.. May be work on getting it to stable version before pushing to pypi..