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My experience when trying to give such tools to data scientists is that they can't use them effectively and will attempt to circumvent the idea of vector programming whenever they can get away with it.

They will also often write code that doesn't do what they really want but has the appearance of doing so.



Sounds like a problem with the term “data scientist” to me.


Is it? The nature of their work is that it's more about reaching the conclusion about what the data says rather than build nice reusable software.


Sounds like your data scientists are not big on R.




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