That's true when you're lucky. But if you're someone who does package development and methods research, you're usually not lucky. This is why pretty much all of the top / mainly used Python packages have lots of C++ and Fortran in there. As someone who develops algorithms rather than just using packages, I found this to infringe on my productivity in Python, whereas making Julia packages "production-quality" is straight forward, so even with the smaller userbase I think it's worthwhile to develop in Julia instead.
