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RStudio with using Rmarkdown is also popular. Both workflows are language agnostic.

• closed 8y ago
  Of note--while Rmarkdown's python support used to be pretty bad, the most recent Rstudio uses the package reticulate behind the scenes, and it works really well! It's easy to share data between the R and python session, and calling python from R, or R from python is straightforward.
• cwyers 8y ago
  Putting aside the R vs Python question (as as noted in this thread, you can use R in a Jupyter notebook and Python in an RMarkdown notebook), I much prefer RMarkdown notebooks. RMarkdown notebooks are plain text, so you can read them easily in any text editor (which also means they play well with git, unlike Jupyter notebooks). And it's meant to work with the RStudio IDE, so I get a much more seamless experience going between regular code and notebooks (although this is admittedly a more R-centric benefit, at least until and unless RStudio adds Python support outside of notebooks).
  • IanCal 8y ago
    A benefit I like about rmarkdown is that it makes it very easy for me to create templated reports. They're built in a way that makes it easy for me to work either iteratively (due to caching of blocks) or rerun the whole thing and get an output.
  • jonnycomputer 8y ago
    Using markdown for python notebooks makes so much sense. What was the thinking behind encoding everything inside JSON?