and I do not know that there are libraries in Python that compare with rugarch, PortfolioAnalytics, and Quantstrat, though if anyone wants to share the go-to generally-accepted Python libraries to use beyond the usual numpy/pandas/matplotlib/cvxpy/sklearn (AKA the usual data science stack). ...
Moving on, here’s an edge case in Python’s Pandas package, regarding how Python sees weeks. That is, I dub it–an edgy panda. Basically, imagine a panda in a leather vest with a mohawk. The issue is that in some cases, the very end of one year is seen as the start of a nex...
though NaT means an NA on *time*, while an NaN means an NA on a numerical value. So that’s interesting in that Python gives you a little more information regarding your column data types, which is kind of interesting.