You're going to Julia so that you can avoid typing "import numpy as np" at the beginning of a file? Or is there more to it?
From dot broadcasting, to multiple dispatch, to parametric types (if you want ), multidimensional array comprehensions. No worrying about 4 different container types (list, np array, pytorch tensor, symbolic etc etc)
Everything works with one array abstraction, including gpu and multi threaded