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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 currymj on Tuesday October 30, 2018 @08:53PM (#18342533)
I would also add two good reasons to stick with R: RStudio and Hadley Wickham.

In theory, there are Python and Julia equivalents to RStudio (JupyterLab, Spyder, PyCharm, Juno, whatever) but RStudio is just so, so, so good. A truly great piece of software.

And of course if you have a data pipeline type workflow, and it fits into the Hadleyverse paradigm and isn't too performance intensive, there's nothing better.

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Re:Why Jupyter is data scientists’ computational notebook of... by byt143 on Wednesday October 31, 2018 @09:37AM (#18345538)
Julia has it's own "*verse" type data pipeline framework, with an even greater variety of backends and plotting solutions than R.

It's still in development (mutate and select have PRs) but it's almost there.

https://github.com/queryverse/Query.jl

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