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?
