Hi lovely people
Microsoft develops a special kernel for Jupyter Notebooks that can interact with different languages.
That way, you can share variables between F#, R, Javascript, Python and others.
It seems almost trivial, to implement new languages, you simply connect to an existing kernel.
The whole things acts as a single kernel, that can have multiple subkernel
The nice thing about that is, that its compatible with all existing Jupyter implementations,
so JupyterLab, VSCode, IDEA, nteract and so on.
I could open up an issue on Github.
As someone, who is not into data science (as this seems mostly useful for), I like to ask first, if that is actually useful, or if the current Julia Jupyter kernel can do all of that for you as is.
Is this useful to you?