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You're correct that the issue is the kernel. If you run jupyter --paths, go to any of the data paths (using the rmg_env one might feel like instinctively the right choice, but that one will be deleted if you regenerate the rmg_env so a more general one will likely make your life easier) and then to kernels. You should be able to mostly copy a python kernel folder to make a python-jl kernel folder. The only modification that needs made to the copied python kernel is to change the path in the kernel.json to the path to the appropriate python-jl (which you can get running which python-jl).
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Hi, is it possible to run packages, like RMS, in Jupyter Notebook? Currently, when I use rmg_env as the kernel (linking to python) it cannot do
I assume this is to do with importing PyCall. Is there a way to use
python-jl
instead ofpython
for the kernel in Jupyter?The text was updated successfully, but these errors were encountered: