This chimes so much with me. I started coding in ~2011. I know how to use Cython, Numba, etc. and the options for accelerating Python are getting better all the

This chimes so much with me. I started coding in ~2011. I know how to use Cython, Numba, etc. and the options for accelerating Python are getting better all the time. I'm a confident C/C++/Fortran programmer by virtue of having worked in those languages for HPC codes anyway. Whenever I've tried to use Julia for things, it just feels like an awkward hybrid of Python and C++. Plus, I think people forget that Python now works pretty well on Windows, and I don't think the same can be necessarily said for Julia. In my University, we support a lot of people on Windows with Python packages - particularly outside of traditonally HPC type areas. As a final thing - on one occasion last year, I tried to integrate a Julia interpreter into an application - something Python does really well on all platforms. I found that copying the code from the website example verbatim did not work on Windows, didn't appear to have done for the best part of a year, and wasn't in the testing framework. I've just checked and it's still not resolved.