Earlier quoted context omitted.
> the fact that programs and websites are delivered by large teams, there are dozens of submodules that are often loaded even when not needed Precisely this. We had an incident once where a CSV had a postal code field be interpreted as an integer by pandas, which of course results in stripping any leading 0s. After looking at what the code needed to do, I asked why they were using pandas in the first place, as it was…
It's called resume-driven-development. You can't add stdlib into your resume while you can pandas. If there are no guardrails, loose quality control and nobody cares about performance - why should they replace current pandas with stdlib?
I honestly don’t understand how it’s even helpful to put shit like that on your résumé. If I read that in an interview, my immediate question would be “why did you build this instead of using HAProxy / AWS NLB / etc.?”