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Users can install their own individual version of Jupyter using the following steps.

1. Install your own version of python to run jupyter. Instructions go on another page.

2. Code Block
   title Install jupyter within anaconda
   login001: conda install jupyter

3. Start up jupyter
   

   1. Code Block
      language bash title Get an allocation on a compute node. Write down the name of the assigned compute node
      login001: srun --pty --x11=first -p interactive bash alpha001:

   2. Code Block
      title Start jupyter on the compute node. It will display the port # the software is running on, usually 8888
      alpha001: jupyter notebook --no-browser [NotebookApp] The Jupyter Notebook is running at: http://localhost:8888/ [NotebookApp] Use Control-C to stop this server and shut down all kernels (twice to skip confirmation).

4. Access jupyter

   1. Code Block
      language bash title Now setup forwarding from your workstation thru the headnode to the assigned compute node, in this example it is alpha001
      Your Workstation: ssh sdough01@login.cluster.tufts.edu -L 8888:localhost:8888 ssh alpha001 -L 8888:localhost:8888

   2. Point the browser on your workstation to http://localhost:8888/    and the jupyter web interface should come up.

   3. Do computation, do science!
5. Exit jupyter

   1. Code Block
      title Don't forget to exit jupyter so it isn't taking up resources
      The Jupyter Notebook is running at: http://localhost:8888/ Shutdown this notebook server (y/[n])? y [C 14:19:54.199 NotebookApp] Shutdown confirmed [I 14:19:54.199 NotebookApp] Shutting down kernels

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