When you look at the "monster" that is ROOT-CERN, which is a C/C++ interpreter* with very efficient statistics and plot tools (it can digest tons of data), it i

When you look at the "monster" that is ROOT-CERN, which is a C/C++ interpreter* with very efficient statistics and plot tools (it can digest tons of data), it is completely logic that Python is a good language for daily lab tasks and analysis. But I'm not sure if it is really used beyond this daily lab task or intern project where performance is not critical. Big simulations I participated were made in C/C++. Nowaday, it seems that at least physics particle community looks enthusiastic regarding Julia development. *: it mimics most of core python features such as no strict typing, data structures that can store different types, on-the-fly coding, graphic interface for representation, no compilation needed.