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  • Nayyar Kazmi

    Very thorough analysis

  • Michael Thompson

    Interesting article, but the graphic on movement of supporters for R / Python / Other could have been more helpful if all figures were on the same base. With a lot of calculations, I found that R had moved to 73%, Python 87%, and Other to only 18% (presumably of those who filled in a survey) IF I've got it right, perhaps someone could confirm or not. We're supposed to open up the data for others to understand, not to have to do data science (almost) to work out what has actually happened. But then, I'm sure I've done just the same to others plenty of times.

  • Dragos Bandur

    I simply love R as statistical tool and also as programming tool (a component which is quite scarcely explored in media).
     
    Although the mainstream to data science originates in computer science/engineering, I remain partial to data scientists that come from mathematics/statistics background; it takes years to master it as opposed to months to learn decent coding.  From this perspective, I feel that schemes and taxonomies like the one presented above are simply interesting and informative if not ephemeral.

    I am not fully convinced by the "pluses" for Python, while most of the "minuses" for R have long since vanished.