Create jupyter environment and run using python 3.10

Create jupyter environment and run using python 3.10#

 micromamba create --name jupyter python=3.10 -c conda-forge
 micromamba activate jupyter
 micromamba install jupyter
 jupyter notebook --generate-config

In: $HOME/.jupyter/jupyter_notebook_config.py Add these two lines:

c.NotebookApp.open_browser = False
c.NotebookApp.ip = '0.0.0.0

Connecting to the compute node from dahu#

Once on dahu, reserve resources in interactive mode

[f-dahu /home/chekkim ]$ oarsub -I -l nodes=1/core=1,walltime=01:00:00 --project elmerice
[PARALLEL] Small jobs (< 32 cores) restricted to tagged nodes
[FAST] Adding fast resource constraints
[ADMISSION RULE] Modify resource description with type constraints
OAR_JOB_ID=14860483
Interactive mode: waiting...
Starting...

Connect to OAR job 14860483 via the node dahu120

Now activate the environement and run jupyter notebook

[dahu120 /home/chekkim ]$ micromamba activate jupyter

(jupyter) [dahu120 /home/chekkim ]$ jupyter notebook
[I 15:26:59.781 NotebookApp] Serving notebooks from local directory: /home/chekkim
[I 15:26:59.782 NotebookApp] Jupyter Notebook 6.2.0 is running at:
[I 15:26:59.782 NotebookApp] http://dahu120:8888/?token=7cf2f5e1573407ea2b9a99b311d8ae3250bc0eec8530e1e2
[I 15:26:59.782 NotebookApp] or http://127.0.0.1:8888/?token=7cf2f5e1573407ea2b9a99b311d8ae3250bc0eec8530e1e2
[I 15:26:59.782 NotebookApp] Use Control-C to stop this server and shut down all kernels (twice to skip confirmation).
[C 15:26:59.790 NotebookApp]

    To access the notebook, open this file in a browser:
        file:///home/chekkim/.local/share/jupyter/runtime/nbserver-266494-open.html
    Or copy and paste one of these URLs:
        http://dahu120:8888/?token=7cf2f5e1573407ea2b9a99b311d8ae3250bc0eec8530e1e2
     or http://127.0.0.1:8888/?token=7cf2f5e1573407ea2b9a99b311d8ae3250bc0eec8530e1e2
[I 15:28:39.390 NotebookApp] 302 GET /?token=7cf2f5e1573407ea2b9a99b311d8ae3250bc0eec8530e1e2 (129.88.197.54) 0.530000ms

On your local terminal, type the following command to create a connection between the dahu120 compute node and your computer

chekkim@DESKTOP-EAJKALM:~$ ssh -fNL 8888:dahu120:8888 dahu

Then open in a browser (firefox/chrome or other) the link indicated when executing the “jupyter notebook” command on the dahu120 node, i.e.

http://127.0.0.1:8888/?token=7cf2f5e1573407ea2b9a99b311d8ae3250bc0eec8530e1e2

You should now be able to access the notebook as if you were directly on the compute server.

Caution

If the default port 8888 is already in use, use another port (8889): you can specify it in the jupiter command (-port XXXX ) or by adding it to the $HOME/.jupyter/jupyter_notebook_config.py file

Install jupyterlab

micromamba  install  jupyterlab -c conda-forge

Then replace in the browser tree by lab

Show personal kernel

python -m ipykernel install --user --name jupyter --display-name “Python 3.10 (Jupyter)”

You will be able to select this kernel Python 3.10 (Jupyter) on your web browser

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