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If you forget to activate the environment Jupyter will not see packages you installed. If you want python2, you can create a conda environment with version 2 like conda create -n jupyter_2_7 python=2.7 jupyter. You can create as many conda environments needed and load the one you want to work within your notebook server. Holy7c05314>$ source activate jupyter_3.6 Holy7c05314>$ conda create -n jupyter_3.6 python=3.6 jupyter # you can add any other package to install you might need. If you already have your own Jupyter environment, activate your environment source activate environment_name and skip to the next step While you are setting up an environment, we recommend using an interactive node to configure your conda environment. Start a job:Īfter login to the login node on the cluster, you will need to start a job on the cluster. While using the App on our interactive computing portal vdi.rc. the recommended solution for most use cases, scheduling the job from the command line might give you more flexibility and control on advanced Slurm submission options and could be useful in some specific situations. This document is to help you start a Jupyter notebook server on a compute node from the command line and connect to your computational notebook using a local browser of your workstation/laptop. NOTE: If you are a FAS user and looking for Jupyter Hub, you can request from FAS here