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Comment by oivey | Hacker News Reader

R and Julia’s aren’t good? They’re in the name, so I would have thought support would continue to be strong. I like Julia’s Pluto and the reactive style more than Jupyter anyway.

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Every year, most JuliaCon workshops are presented via Jupyter notebooks; the Julia support is pretty good and has remained stable for a long while.

Some of the unofficial extensions like `code_prettify` don't work for Julia kernels, but at least for my usage, I've never felt the need for such tools in a Jupyter notebook.

IJulia is falling behind. If you look at github activity, it has 1 commit in past month. Compared to 9 authors and 39 commits in past month for IPython. IJulia issues are piling up.

Jupyter

Ju(lia)-pyt(hon)-eR

To make it clear

This just blew my mind, never realized that!

Hint: Do not use the conda package. Just install R and IPRkernel (an R package) and you are good to go.

Anaconda foundation does really great marketing, outreach, advocacy, education...it's a good first place for data scientists to land. But actually installing and using Conda is always annoying. I wind up doing everything with pip and venv, because pip jsut works.

On the topic of Conda and Jupyter, install jupyter via a virtualenv pip installation, and then to use a specific conda kernel, load your conda environment in another shell, and install IRkernel in that environment. As long as you install to the main Jupyer prefix, jupyter should see the new conda kernel.

You can do this for as many kernels/conda envs as you need

Is there a language/system which begins w/ the letter "e" which would be suitable to add?

Elixir, but there’s LiveBook already.

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