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Emacs is the only truly next-generation data science IDE, and the last-generation one too.

(Hiding behind my couch after writing that)



What packages and workflow specifically do you use? I haven’t come across many gentle introductions so looking for clues on what’s a reasonable first step that’s well maintained with good docs.


I am not a scientist, and was primarily having a laugh with my comment.

That said, I do know that the type of person who likes configuring things very in-depth can set up intricate and powerful workflows in Emacs. I don't know what kind of data science IDE specifically you're interested in putting together, but here's a general article:

https://michaelneuper.com/posts/replace-jupyter-notebook-wit...

There's also this MOOC on reproducible research in French and English from Inria, where you're encouraged to follow the course in one of three ways: Jupyter, RStudio, or in Emacs' Org-Mode. I'd love to do it, but can't really justify spending the time at the minute.

https://www.fun-mooc.fr/en/courses/reproducible-research-met...

Creator of org-mode is Carsten Dominik, who is an astronomer by trade, so, it's a scientist's tool. A few of his talks are listed on this page, if you're interested in going straight to the source:

https://orgmode.org/worg/org-tutorials/


This is great - thank you! Hadn't seen the blog post or the MOOC. Appreciate the resources.


Can you elaborate, how?


See my reply in the other thread, where I dutifully elaborate.




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