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1. Code Block
   language bash title Install your own version of python.
   login001: wget https://repo.continuum.io/miniconda/Miniconda3-latest-Linux-x86_64.sh login001: chmod u+x Miniconda3-latest-Linux-x86_64.sh login001: ./Miniconda3-latest-Linux-x86_64.sh

2. Code Block
   title Install jupyter within anaconda
   login001: miniconda3/bin/conda install jupyter

3. Start up jupyter
   

   1. Request a default # of cores and memory as a test.

      Code Block
      language bash title Get an allocation on a compute node. Write down the name of the assigned compute node
      login001: srun -c 4 --pty -p interactive bash alpha001:

      NOTE: This gives you four cores, for future runs of jupyter you can ask for more, up to 40. Be sure to select the matching # of threads in the top right corner of the jupyter interface.

   2. Code Block
      title Start jupyter on the compute node. It will display the port # the software is running on, usually 8888
      alpha001: miniconda3/bin/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).

      NOTE: Be aware of the port number 8888 above. Your port may be different, Adjust the instructions below accordingly.

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 username@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. NOTE: If jupyter asks for a token, this can be found when you started it up. Cut and paste the correct value.
      
   4. 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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