Julia didn't come about because a bunch of CS people wanted to make a pretty language. It came about because people experienced with scientific computing were f

Julia didn't come about because a bunch of CS people wanted to make a pretty language. It came about because people experienced with scientific computing were frustrated with the current state of affairs and wanted to improve the situation. If Python works fine for your use case, then indeed, Julia probably seems like a waste of time. But if your situation - like mine was, three years ago - is that you program mostly in Python, but then constantly hit the performance wall and begin doing questionable gymnastics with Numpy, Cython or Numba to try to scale it, before eventually giving up and writing C code that is 15% business logic and 85% pointless boilerplate that segfaults if you look at it wrong... well, then the point of Julia is obvious. Right now, Julia mostly attracts the users for whom Python is obviously not good enough. Eventually, I hope the ecosystem matures enough that even a user who might otherwise use Python would use Julia simply because it's nicer.