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You can use |
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Example using the default Python kernel: |
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# Cell import sys print(sys.version) |
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Notice there are two paths:
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# Before pip install:
[salexan5@mblog2 ~]$ ls .local/lib/python3.12/site-packages/
dateutil numpy-2.0.0.dist-info __pycache__ pytz six-1.16.0.dist-info tzdata
numpy numpy.libs python_dateutil-2.9.0.post0.dist-info pytz-2024.1.dist-info six.py tzdata-2024.1.dist-info |
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# After Installation:
# Notice the new packages installed.
[salexan5@mblog2 ~]$ ls .local/lib/python3.12/site-packages/
click joblib-1.4.2.dist-info numpy-2.0.0.dist-info pytz six-1.16.0.dist-info tzdata
click-8.1.7.dist-info nltk numpy.libs pytz-2024.1.dist-info six.py tzdata-2024.1.dist-info
dateutil nltk-3.8.1.dist-info __pycache__ regex tqdm
joblib numpy python_dateutil-2.9.0.post0.dist-info regex-2024.7.24.dist-info tqdm-4.66.5.dist-info |
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Remember: Any previously install Python packages under this location will be available to your notebook. Any installs/updates within the notebook will thus also affect any other Python environments you have that use this location and packages. This could cause issues with dependencies and versions. |
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You can use You will not have permissions to |
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But, you should have permissions be able to if you have created the kernel, own it, and thus have permissions. |
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Jupyter Sessions
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Issue: Jupyter Doesn’t Start?
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When you start a Jupyter session via OnDemand, you get a Session ID, which also creates a corresponding folder within your home: |
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Clicking on the Session ID link will open up a new tab of the form: |
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Or, you can navigate to it via the command-line: |
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[]$ ls ~/ondemand/data/sys/dashboard/batch_connect/sys/jupyter/form/output/8c0766ae-b302-47d7-8f40-007460cc3ad1/
after.sh before.sh config.py connection.yml job_script_content.sh job_script_options.json output.log script.sh user_defined_context.json |
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You can view the |
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Issue: Jupyter Doesn’t Start?
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Sometimes when you try and start a Jupyter session it immediately fails to open. This is typically caused by something that you have done/run/installed that has installed a python package under the library/version folder that is causing a dependency issue with a Python package installed under the kernel.. |
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If you do not have the Session ID, then list the child session folders, in date order, under |
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[]$ ls -altr ~/ondemand/data/sys/dashboard/batch_connect/sys/jupyter/form/output/
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drwxr-xr-x 2 <username> <username> 4096 Aug 6 08:07 8c0766ae-b302-47d7-8f40-007460cc3ad1 |
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Issue: Jupyter Doesn’t Start: Example
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This example is from an older cluster/version of OnDemand, but the principle still applies. |
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The |
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Two things to notice.
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Unfortunately, the simplest way to resolve is to remove this folder. How this effects your environment/pipeline you will have to figure out. Unfortunately, the more complicated you try and make a single environment, the more likely this is too occur. Suggestion: Maybe consider creating a separate Conda environment/kernel. |
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