Support numpy types

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Pass in a np.mean(my_numpy_array) value to wiz.res() and it'll work fine. However, Pylance complains that we don't have a matching overload for res which is true. We should allow numpy types, e.g. numpy.float64 and so on since numpy is so widely used in scientific research. Maybe there's a generic numpy number type that one could employ.

Note that "it'll work fine" is of course only true if the user has installed numpy (which is reasonable when they pass in a numpy value). But we should check for that and issue an error if that is not the case (suggest that user should install numpy).

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Feel free to check this issue out @paul019

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I posted a StackOverflow question for this.