Jupyter: Difference between revisions

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jupyter notebook --no-browser --ip=$host
jupyter notebook --no-browser --ip=$host
</pre>
</pre>
The server should start running and provide you with a URL that looks something like this:
The server should start running and provide you with a URL including a port # (typically but not always 8888) and a compute node on cheaha (for example C0047) that looks something like this:
<pre>
<pre>
    
    
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Now, start up a new tab/terminal/window on your client machine, and relogin to cheaha, using
Now, start up a new tab/terminal/window on your client machine, and relogin to cheaha, using
<pre>
<pre>
ssh -L 8888:c00XX:8888 BLAZERID@cheaha.rc.uab.edu
ssh -L 88XX:c00XX:88XX BLAZERID@cheaha.rc.uab.edu
</pre>
</pre>
'''Note:'''
'''Note:'''
* c00XX is the compute node where you started the jupiter notebook.
* c00XX is the compute node where you started the jupiter notebook, for example c0047
* If your jupyter notebook starts on a different port number, then 8888 , then use that in the above command, in place of 8888.
* 88XX is the port that the notebook is running, for example 8888


Now access the link generated by jupyter notebook (change c00XX to localhost) on your client machine by opening your browser. It should be running.
Now access the link on your client machine browser locally using the link generated by jupyter notebook but substituting in localhost instead of c00XX. Make sure you have the correct port as well.
<pre>
http://localhost:88XX/?token=73da89e0eabdeb9d6dc1241a55754634d4e169357f60626c&token=73da89e0eabdeb7d6dc1241a55754634d4e169357f60626c
</pre>
 
A Jupyter notebook should then open in your browser.

Revision as of 16:35, 29 August 2018

Jupyter Notebook is an open-source web application that allows you to create and share documents that contain live code, equations, visualizations and narrative text. For more information on jupyter notebook, click here.

Jupyter on Cheaha

The cheaha cluster supports Jupyter notebooks for data analysis, but such jobs should be running using the SLURM job submission system to avoid overloading the head node. To run a Jupyter Notebook on cheaha, login to cheaha from your client machine and start an interactive job

srun --ntasks=1 --cpus-per-task=4 --mem-per-cpu=4096 --time=08:00:00 --partition=medium --job-name=JOB_NAME --pty /bin/bash
module load Anaconda3/5.2.0
unset XDG_RUNTIME_DIR
jupyter notebook --no-browser --ip=$host

The server should start running and provide you with a URL including a port # (typically but not always 8888) and a compute node on cheaha (for example C0047) that looks something like this:

  
    Copy/paste this URL into your browser when you connect for the first time,
    to login with a token:
        http://c0047:8888/?token=73da89e0eabdeb9d6dc1241a55754634d4e169357f60626c&token=73da89e0eabdeb7d6dc1241a55754634d4e169357f60626c

Now, start up a new tab/terminal/window on your client machine, and relogin to cheaha, using

ssh -L 88XX:c00XX:88XX BLAZERID@cheaha.rc.uab.edu

Note:

  • c00XX is the compute node where you started the jupiter notebook, for example c0047
  • 88XX is the port that the notebook is running, for example 8888

Now access the link on your client machine browser locally using the link generated by jupyter notebook but substituting in localhost instead of c00XX. Make sure you have the correct port as well.

http://localhost:88XX/?token=73da89e0eabdeb9d6dc1241a55754634d4e169357f60626c&token=73da89e0eabdeb7d6dc1241a55754634d4e169357f60626c

A Jupyter notebook should then open in your browser.