As an occasional R user, I think R markdown one of the things that R does really well. For data scientists who want to output reports (mix of text and calculations), I haven't come across anything as mature or easy to use in the Python ecosystem. I'm a big user of Jupyter notebooks, but version control issues put me off, and I've never got to grips customising the formatting of jupyter nbconvert.
For example, I am currently considering using R markdown to author the documentation for one of my Python packages. Currently my documentation is written in markdown, but I keep having to copy and paste calculations and tables into the markdown. When things change, it would be nice to just be able to re-run the R markdown, converting Rmd -> md and thereby interpolating the latest version of all calculations into the final markdown doc.
It's worth highlighting that R Markdown actually supports a number of languages including Python - for instance see here: https://bookdown.org/yihui/rmarkdown/language-engines.html
For example, I am currently considering using R markdown to author the documentation for one of my Python packages. Currently my documentation is written in markdown, but I keep having to copy and paste calculations and tables into the markdown. When things change, it would be nice to just be able to re-run the R markdown, converting Rmd -> md and thereby interpolating the latest version of all calculations into the final markdown doc.