Comment: The enhanced utility of Fortran (Score 3, Informative) 255
Ironically the utility of fortran has only grown with time. Modern fortrans embrace parallel computing by having constructs that are inherently parallel; for example loops which announce they are parallel and can be done out of order and matrix operations as language primitives. One great innovation is the combination of python and fortran. You do things with precisely defined memory boundaries that are compiled to maximum efficiency using the simple clean fortran, and you do the messy stuff of memory allocations and references and exotic libraries and user interfaces in the python. No need to extend the fortran language and make is slower-- just put the non-speed critical stuff in the python part. With the rise of GPUs and their rigidly defined memory limits fortran is a nice fit. You actually want a constrained language for that. It's really an ideal combination. Fortran compiles so fast its even possible to have python write the fortran on the fly and then call it.