**You MUST change the _CONDA_ROOT= path to your custom conda environment, this is important if you have given the environment a different name. (custom-jupyter)$ echo "export _CONDA_ROOT=~/envs/custom-jupyter" > ~/.srcc/jupyter/override This file is recognized when you login to and in turn loads the Conda environment you specify under the ‘_CONDA_ROOT=’ setting. $ ln -s jupyterhub-singleuser jupyter-labhubĤ) Create Nero setting file ‘override’ to enable usage of custom environment. $ pip install jupyterhub jupyterlab jupyter jsonschema jupyterlab-server $ conda create -p ~/envs/custom-jupyter python pip conda nodejs r-base -c -override-channelsģ) Install additional Jupyter required packages and fixes We will then install the desired packages, create a settings file for JupyterHub on Nero, and test it out.ġ) Create your custom environment on Nero Specifically, we want to use R 4.0 from within.įirst, we create a custom anaconda 3 environment within our home folder under the “envs” directory. In this example we want to use a custom built anaconda3 environment within Jupyter. Using Custom Conda Environments within Jupyter on Nero
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