thank you for your replies. No, our students typically don’t have a CERN account.
However, I think I figured it out. Actually, the path to x86_64-conda-linux-gnu-c++
was missing in the PATH
environment variable. I prefixed PATH
with the proper pass to the conda environment’s bin
directory in my kernel.json
file which now reads:
{
"argv": [
"/opt/anaconda3/envs/root6/bin/python",
"-m",
"ipykernel_launcher",
"-f",
"{connection_file}"
],
"display_name": "CERN ROOT",
"language": "python",
"metadata": {
"debugger": true
},
"env": {
"PATH": "/opt/anaconda3/envs/root6/bin:${PATH}"
}
}
Afterwards the warning message was gone.
Cheers,
w.w.
P.S.: In case someone is interested in how this kind of problem may be figured out:
- Start your (python-based) notebook via your JupyterHub instance.
- Check the
PATH
environment variable:
[] import sys
[] printenv
[] ! echo $PATH
- This way I was able to compare the environment variables between using the conda environment directly from the command line and via the Jupyter kernel.