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A comment on Why Jupyter is data scientists’ computational notebook of choice. Parent comment

Re:Why Jupyter is data scientists’ computational notebook of... by thousandautumns on Tuesday October 30, 2018 @11:19AM (#18337359)
I'm not sure what about Jupyter makes Python more compelling in comparison to R. R is entirely usable in Jupyter Notebooks, and R Notebooks are, in my opinion, possibly superior to Jupyter notebooks in many ways.

> and as more people realize that there's a benefit to simultaneously training researchers to run code as well as stats, I suspect we'll start to see an exodus from pure R solutions

I'm not sure what you are saying here.

I would actually argue that most of the Python data science toolchain is years behind what is available in R.

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Re:Why Jupyter is data scientists’ computational notebook of... by achompas on Tuesday October 30, 2018 @12:15PM (#18338199)
> I would actually argue that most of the Python data science toolchain is years behind what is available in R.

I do not want to litigate this on HN, but the problem with R is the toolchain around your data science work.

You've fit a model in R, and that's great! Now how do you get it into a real-time system? Or how do you test the software you wrote to train the model?

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Re:Why Jupyter is data scientists’ computational notebook of... by williamstein on Tuesday October 30, 2018 @01:07PM (#18338858)
> R is entirely usable in Jupyter Notebooks

Not for everybody, e.g., the Swirl R package (https://swirlstats.com/) doesn't work in Jupyter, since Jupyter has limited support for R's many ways of getting interactive input from users.

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Re:Why Jupyter is data scientists’ computational notebook of... by mike_ivanov on Tuesday October 30, 2018 @01:40PM (#18339293)
s/possibly/definitely/
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