No, no, no, I am expert of neither language. I sincerely want to learn the difference between these 2 languages. This will help me better understand both Python and Julia.
On Friday, October 7, 2016 at 9:41:43 PM UTC+2, Stefan Karpinski wrote: > > I think you're asking on the wrong list :P > > On Fri, Oct 7, 2016 at 1:56 PM, Gabriel Gellner <gabriel...@gmail.com > <javascript:>> wrote: > >> Any reason to not just use a function? (like np.dot etc) >> >> My understanding is that in python '*' means elementwise multiplication, >> so even if you could monkeypatch numpys __mul__ method to do the right >> thing wouldn't you be changing the semantics? >> >> Gabriel >> >> On Friday, October 7, 2016 at 3:51:11 AM UTC-6, Sisyphuss wrote: >> >>> In Julia, we can do multiple dispatch for operators, that is the >>> interpreter can identify: >>> float + integer >>> integer + integer >>> integer + float >>> float + float >>> as well as *user-defined* data structure. >>> >>> Recently, I am working on Python (I have no choice because Spark hasn't >>> yet a Julia binding). I intended to do the same thing -- multiplication -- >>> between a Numpy matrix and self-defined Low-rank matrix. Of course, I >>> defined the `__rmul__ ` method for Low-rank matrix. However, it seems to me >>> that the Numpy matrix intercepts the `*` operator as its `__mul__` method, >>> which expects the argument on the right side of `*` to be a scalar. >>> >>> I would like to know if there is anyway around? >>> >>> >
