When young programmers make snide remarks about Fortran and rewriting codes in 
modern languages, I ask them if they also considered replacing the old copper 
plumbing in their house (or parents house) because there are modern products 
like Pex. I don't even wait for an answer. I just tell them to get off my lawn.


--
I think there *is* a tendency among less experienced (and less cynical) 
developers, particularly from the CS community, to overlook the practicalities 
of working with an existing code base for large models, largely developed and 
used by people with very ad-hoc software engineering skills (e.g. climate 
scientists generally aren't software engineers, and neither are the folks who 
wrote the Numerical Electromagnetics Code)

I view a lot of the "let's rip out that old FORTRAN and replace it with 
language d'jour" as similar to when the new developer comes on a project and 
immediately proposes refactoring the entire codebase, because clearly, over the 
last 5-10 years, a lot of cruft has built up (notwithstanding that this cruft 
also represents a form of documentation of the evolving requirements and 
design).


I suspect that brand new computational codes are often NOT being written in 
FORTRAN as much as in days gone by.  There's a lot of C, C++, and Python in 
various forms.  The C++ tends to be somewhat restricted in terms of fully 
utilizing all of the language's capability.  And, of course, there's a fair 
amount of FORTRAN styled C, Java, whathaveyou.  It's written by crotchety 
people like me, who "think" in FORTRAN, because that's what I learned back in 
the 60s, and software development is not my primary job, so whatever 
inefficiencies there are from my not using all the mod-cons is of little 
consequence.

Actually there's a fair amount of Matlab "hand translated to language X" 
around, too.   And Matlab is awfully similar to FORTRAN in many ways.  If you 
got your big numerical analysis code running in Matlab, recoding it in FORTRAN 
is pretty easy, since it's unlikely you've used all the OO features of Matlab, 
and were just using simple flow control and lots and lots of math.

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