Absolutely!
I recently gave a talk about Python internals and how to speed it up at an advanced (Python) programming school for PhD students and post docs (mainly Physicists with no CS background). I brought up some speed comparisons between bare Python, Cython, Numba and Numpy and always showed a Julia version as a final touch. After the talk and during the hands-on sessions I prepared, there was a great interest in Julia. I’d say the majority of the participants were extremely curious and I know a few of them who told me afterwards that they started using Julia.
Actually the very first question after the talk was: “Would you recommend to use Julia instead?” 
I think Python coders who try to learn how and when to use all those additional libraries are quite impressed when they see a language which is as readable as Python and has no such problems. After all you have to understand quite a few internal logic to get a feeling how Numba/Numpy/etc. perform.
Btw. most of the people I talked to about Julia were totally scared about the fact that “there are no classes in Julia”. Well… 