> What I meant is that the trio Python/Java/C is ubiquitous for many people in both entreprises and scientific fields, from embedded to web servers. It allows f

> What I meant is that the trio Python/Java/C is ubiquitous for many people in both entreprises and scientific fields, from embedded to web servers. It allows for great reusability of codes and people's skills. That's true. But it's also Academia's role to try (and fail or succeed) at developing and evaluating new solutions; and in the case of Julia, I have to concede I'm pretty excited to see where they will be going. The solution of mixing the ‶glue″ and the ‶high performances″ languages in a single one while still letting people call upon older C ABI libs is a little revolution in this context. > If you have to reuse C and Fortran libraries, why not just use Python which can do the same, or even Lua, or Lisp. Python is already the defacto language to glue libraries together onto a higher level algorithm. Because Julia is far faster, and because no GIL. Of course, like in every other tech, what floats my boat doesn't necessarily floats your, so maybe for your usecase Python/Lisp/Lua/Ruby/... is better.