Comments (6)
Yes, the Anaconda distribution works with julia.
Having said that, the story is somewhat more complicated... The julia kernel for Jupyter comes via the julia package IJulia. On a julia prompt, one can just install that with Pkg.add("IJulia")
. What happens next depends on the users system:
If there is a jupyter
or ipython
on the PATH
, then IJulia will use that. If not, it will install a private python+jupyter just for its own use. This private python will not be on the path.
Normally jupyter kernels are registered in the folder ~/.jupyter
, but I'm not sure what happens if IJulia creates a private jupyter install, i.e. whether it still registers the julia kernel in that location, or also somewhere private.
Long story short, I think maybe the easiest approach is to say that users need to have a jupyter
on their PATH with a julia kernel registered onto that if they want to use this extension? And for now just ignore the case where IJulia has a private jupyter installation.
from vscodejupyter.
Great, one last thing
The way it works is first we need to start a jupyter notebook (in the background).
I will provide the ability for the user to view the URL of the notebook server, if they wish to view it in their browser.
from vscodejupyter.
Hm, interesting. I thought jupyter had a non-notebook server mode where clients could connect? But maybe they just combined that all?
from vscodejupyter.
Ah, I understand now, the javascript client library you are using needs the notebook server, so all clear.
from vscodejupyter.
Great
from vscodejupyter.
Besides if anytime wanted to launch the notebook, they could do so. I know at least one of the python users did (hopefully still does)'
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from vscodejupyter.