My experience is a first implementation / novice programmer will write Julia code of a similar speed to python. But then an intermediate Julia programmer can adapt that same code to be of order C / Fortran performance, without stopping the novice programmer from being able to work on the code base. So it's this ability to iteratively improve and collaborate across very different skill sets that's really important.
This is quite a different situation to traditional scientific computing.
This is quite a different situation to traditional scientific computing.