I recently joined a new company in a data science team and found that everything runs in py27. Instead of using docker, the environment had to be built with outdated packages that compile with 2.7, locally (nightmares).
After the python community has asked people to use v3 for a decade this is kinda nuts (given 2.7 and 3.1 were out in 2009)... Is this common and what is expected in DS? I am having a culture shock because first I was laughed at for saying I have not used 2.7 for more than 6 years, and second... there are no name conventions used in codes so reading them is extremely difficult without context due to a bunch of abbreviations, etc.(and of course, no documentation either). I feel like this team just consists of mathematicians. When I was hired the expectation was to be a full-stack engineer, even though the title is data scientist. Now it seems like they just want another researcher in team and that is not what I want to do. #datascience
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There’s a plenty of legacy 2.7 code lurking in far corners. But it’s being tracked down by this point and updated to run on 3+.
I think more modern companies have migrated by now since everyone is dropping 2.x support, but I'm sure there are plenty of holdouts. The closer to academia, the further behind they'll be
It sounds like the job probably isn't a great fit for you.