Advantages of Using R Notebooks Instead of Jupyter Notebooks (2017)

Re:Advantages of Using R Notebooks Instead of Jupyter Notebo... by closed on Wednesday October 31, 2018 @12:47AM (#18343434)

RE python in Rmarkdown being limited...

> The Python session ends after the cell executes, making it unhelpful for tasks other than ad hoc scripts.

This isn't the case anymore thanks to the reticulate library.

https://blog.rstudio.com/2018/03/26/reticulate-r-interface-t...

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Re:Advantages of Using R Notebooks Instead of Jupyter Notebo... by nerdponx on Wednesday October 31, 2018 @03:33AM (#18343910)

Reticulate was a major improvement in the data science workflow. We now have full interoperability between R, Python, and Julia (or Scala if you're on Spark). The ability to mix languages is really valuable.

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Re:Advantages of Using R Notebooks Instead of Jupyter Notebo... by cauthon on Wednesday October 31, 2018 @10:19AM (#18345874)

What would be the equivalent package for Julia?

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Re:Advantages of Using R Notebooks Instead of Jupyter Notebo... by nerdponx on Wednesday October 31, 2018 @11:12AM (#18346334)

PyCall.jl can call Python from Julia. On the downside, it has a lot of problems and there doesn't seem to be enough dev effort to match.

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Re:Advantages of Using R Notebooks Instead of Jupyter Notebo... by ChrisRackauckas on Wednesday October 31, 2018 @10:26AM (#18345945)

Weave.jl

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Re:Advantages of Using R Notebooks Instead of Jupyter Notebo... by minimaxir on Wednesday October 31, 2018 @10:27AM (#18345953)

OP here:

reticulate isn't native to R Studio yet (it's in the insider build), but will be interesting to see what happens with adoption then.

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Re:Advantages of Using R Notebooks Instead of Jupyter Notebo... by cauthon on Wednesday October 31, 2018 @10:17AM (#18345864)

Is there an equivalent library for Julia?

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