Re:Why Jupyter is data scientists’ computational notebook of...
by astral303 on Tuesday October 30, 2018 @12:38PM
(#18338524)
RStudio’s Markdown notebooks do not suffer from this and save a separate output file that can be gitignored.
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Re:Why Jupyter is data scientists’ computational notebook of...
by wodenokoto on Tuesday October 30, 2018 @02:30PM
(#18339884)
And they pay for this on other accounts:
No inline rendering of markdown.
Opening an .Rmd file is a lottery to see if rendered graphs and tables still exists.
Tables render completely differently in editor, HTML and pdf
Re:Why Jupyter is data scientists’ computational notebook of...
by gbrown on Tuesday October 30, 2018 @03:03PM
(#18340235)
For me, markdown is meant to be readable even when not rendered. I could see how not having persistent graphs and tables might be an issue, but my own philosophy is to start fresh each time - I treat it like a templating language with some convenient rendering features for prototyping, rather than like an IDE.
Your last point also has an upside - it's using different engines (Rmarkdown vs. Sweave). I can write whatever HTML or LaTeX code I want, depending on what's appropriate. I wouldn't want to have to make web documents with LaTeX, nor would I want to make PDFs with HTML.
Re:Why Jupyter is data scientists’ computational notebook of...
by mike_ivanov on Wednesday October 31, 2018 @06:11AM
(#18344452)
> No inline rendering of markdown.
That's incorrect, take a look here -> https://blog.rstudio.com/2016/10/05/r-notebooks
Re:Why Jupyter is data scientists’ computational notebook of...
by andrestan on Tuesday October 30, 2018 @02:18PM
(#18339753)
RMarkdown and Knitr are dramatic improvements in terms of final outputs and VC relative to notebooks. Notebook believers (Satan worshippers, imho) would suggest that notebooks are best for developing in and not primarily made for use as final outputs.