Honestly, I don’t really think we are going to get all that many people who spend the vast majority of their time in pure Python coming over to Julia any time soon. Most of the Python people I’ve interacted with simply don’t consider tasks that Python isn’t “good enough” for worth doing. As I’ve stated here before, my emotional reaction to that is of course extreme frustration, but I am forced to admit that this isn’t totally unreasonable in a huge class of “real world” situations. While that doesn’t quite explain the loyalty to Python (which is still a bit of a mystery to me), I think that realistically there is 0 chance that you will get most of those people to switch to a compiled language with multiple dispatch.
My point is that we should really focus on people who use Cython, PyPy and Numba, not so much on the average Python user. There is some chance that we will win some of them over in the long run if there is an exodus from Cython, Numba, MATLAB and R, but that’s probably still at least 10 years off.
(I think much of this is echoing @Tamas_Papp’s earlier comments in somewhat different language.)