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by FraaJad
2765 days ago
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that's often the current explanation for continued use of Pyhton and R. Often it is a sign that the problem is not "big" enough (eg: not crunching truly large data sets) OR data science team gets disproportionate amount of goodwill (thus money) to spend on its foibles. :) |
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