[nawgz]

> I don't think the programming language makes that big of a difference, ultimately

I mean, it should be clear Julia is a much higher-performance method of crunching data than Python, which is unquestionably the king of the data science pile, and therefore it factors into performance & cost.

[cameronperot]

You can also look at it in terms of man hours with respect to how much time it takes to implement and how much time it takes for others to read it. Coming from a computational physics background, one of the main reasons I love programming in Julia is because it allows me to write code with syntax very close to the underlying mathematics.

[7_my_mind]

Scientific computing is not done in python. It is usually Fortran on C/C++ or Matlab (which I think uses Fortran libraries behind the scenes). Python is only used for the data manipulation part but not for the core simulation.