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> My impression (and I am not a statistician/data scientist in my day job, so I would very much like to hear opposing perspectives) is that the R ecosystem is far more mature and widely adopted than scikit-learn for things like regression, classification, clustering etc.

Python scores over R in one aspect - text processing.



Perl is better at that than Python.


why I get a "-1" on this? Have anyone compared processing text between Perl and Python? I really cannot agree that python is superior to Perl at this task according to my daily work. Some language is popular doesn't mean it's good at everything.


Because in a discussion of "a or b?", a comment on the usefulness of c is irrelevant. If you were attempting to propose that perl is a better data science language for reasons including its text processing, then you needed to say that. If you weren't attempting to do that, then nobody cares about perl in this context.


not (a > b) does not imply (b > a), particularly if there is no clearly defined ordering over a and b




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