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by dotnet00
1061 days ago
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Yes, this is even more the case in languages that are popular with more "applied" programming audiences, like scientific computing. Telling them "no you should be using this complicated DBMS" (or whatever other acronym) is not productive. It tends to get them exceptionally mad because their concern isn't the ideal way to write the code and architect the system, they simply want to write just enough code to continue their research, and even if they did care about proper architecture, they don't have the time or interest in learning/testing a new library for every little thing. They'd rather be putting that time reading up on their field of research. |
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To be clear, I’m not advocating for data scientists to write production-grade webapps. But I absolutely think they should be bothered to write code that fulfills minimal requirements, is reproducible, documented, and mostly bug-free.