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That seems like a fairly arrogant response on your part - it's obvious that an interview is meant to gauge your technical capabilities/knowledge. Even if someth
by Bahamut 8y ago
That seems like a fairly arrogant response on your part - it's obvious that an interview is meant to gauge your technical capabilities/knowledge. Even if something is trivialized, the ability to solve certain types of problems can translate to other problem domains where you have to use the same core skills to solve other problems - parsing a file does not seem like an other worldly type of skill (it could even be an unstructured/loosely structured text file for example).
I think to some degree, a suspension of disbelief is reasonable for an interview, and it's not worthwhile to get tunnel vision on a particular problem asked. It's ok to point out that something is trivial with a particular widely used library or whatever, but if it is asked to implement something via first principles or whatever, it is a perfectly reasonable expectation to just do it for interview purposes as a simple mental exercise.
- eanzenberg 8y agoI respect your view but disagree. I use pandas everyday for my job. I use spark. I use keras. I use scikit. I use all these APIs everyday for my job. I can't think of the last time I loaded a file using vanilla python. If it's a requirement for the job (which it wasn't, they showed me pandas code later) then I completely understand and would not be qualified nor would I want the job. There's a few things going on here. First, there's a frustration from the interviewer who is obviously looking for the cookie-cutter answer to move things along. Second, there's a culture misalignment because they are looking for cookie cutters to do the job while I am not that. Third, they, along with OP, are obviously not a palindrome company nor a load-everything-to-lists company yet this is what they're testing. So again, culture misalignment. At the end of the day, you are right, I self-selected myself out because I would not be happy at a place like such who are looking for cookie-cutter employees.