Banks and financial institutions are in the midst of a programming language revolution.  Forget single languages, it's all about "polyglot architecture" – choosing the best tool for each job.  

For decades, COBOL has been a backbone of global banking systems, handling everything from ATM transactions to credit card processing.  But even with massive legacy codebases, banks are embracing modernization strategies like API wrapping and AI-powered maintenance. 

Japan's mega banks have long relied on PL/I alongside COBOL for their core financial operations. And RPG, used on IBM iSeries (formerly AS/400), is still prevalent in smaller institutions.  For specialized tasks like risk modeling or numerical calculations, Fortran has been a trusted choice.   But the future of these languages is shifting as Python and Julia gain traction. 

The takeaway?  This isn't just about coding; it's about adapting to a changing financial landscape.  And that means embracing new technologies while preserving the stability of existing systems.


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