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The Jupyter Notebook is an open source web application for interactive data science and scientific computing across over 40 programming languages. It allows you to create and share documents that contain live code, equations, visualizations and explanatory text. Uses include: data cleaning and transformation, numerical simulation, statistical modeling, machine learning and much more. |
to run jupyter.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.shCode Block title Install jupyter within anaconda login001: miniconda3/bin/conda install jupyter- Start up jupyter
Code Block language bash title Get an allocation on a compute node. Write down the name of the assigned compute node login001: srun --pty -p interactive bash alpha001:
Code Block title Start jupyter on the compute node. It will display the port # the software is running on, usually 8888 alpha001: anaconda3miniconda3/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).
- Access jupyter
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
Point the browser on your workstation to http://localhost:8888/ and the jupyter web interface should come up.
- Do computation, do science!
- Exit jupyter
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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