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The easiest way to preserve code for posterity is the wrap up the runtime environment in a VM. I can boot up a VM from 15 years ago (when I was in grad school) and it will run.

When you're writing code for science, preserving code for posterity is rarely a priority. Your priority is to iterate quickly because the goal is scientific results, not code.

(this is in fact, correct prioritization. Under most circumstances, though not all, most grad students who try to write pristine code find themselves progressing more slowly than those who don't.)



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