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abandonware empires
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this post was submitted on 09 Nov 2023
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Kinda related, in the company I used to work everything was done in SAS, an statistical analysis software (SAS duh) that fucking sucks. It's used to be great, but once your on their environment you are trapped for fucking forever. I hated it and refuse to learned it over what was basic for my daily tasks. A couple of months I moved to another company that used to pay a consulting firm for my job, so my boss and me had to start everything fresh and the first thing we did was to study what are going to use as statistics software and I fight tooth and nails for Python and one of the points I pushed was that if in the future we decide to move out of Python we could easily can do it, while other solutions could locked up us with them.
If you rely on free packages in Python for processing, those are as likely to become obsolete as anything else (if not more likely). I also really dislike the compatibility issues with different versions of different packages, the whole environment aspect. Buying new computer with different version of windows? Who knows what will work there.
In this sense for scientific computation I prefer something like MATLAB. Code written 40 years ago, most likely would still work. New computer? No problem, no configuration, just install Matlab, and it runs! Yes, it costs money, but you get what you paid for. Mathematica is another option, but I mean ugh!
If you really don't want to spend money, there's always GNU Octave. Sure, it doesn't have the thousands of matlab toolboxes, but if you're running code from 40 years ago it shouldn't need those anyway. I wrote a couple of scripts recently and then rewrote them slightly so that they would be compatible with octave.