Drop .z stream from Python version in JL main menu

[lugi0]

After #25 , new images display the full python version when launching into the JupyterLab main menu.
For consistency with the Dashboard spawner page, I would suggest dropping the .z stream from the version string.

@guimou I understand you requested this to enable users to deal with multiple kernel versions, do you think it would be likely for users to use multiple kernel versions with the same minor but different patch?

Perhaps it would be possible to only show the .z stream when two kernels with the same minor versions are detected?

[guimou]

The configuration had two goals: - Remove the "(ipykernel)" mention that does not bring anything apart from confusing people. - Indicate the Python version, not for multiple kernels (you're right, it won't happen much), but as a reminder of which image they launched. With n-1 and n support, they may have in their RHODS environment 3.8 and 3.9 images, then 3.9 and 3.10... Regarding the z version it's not really important, so it can be removed for sure. It's a slight modification to make on the Dockerfile.

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On Mon., Mar. 6, 2023, 09:54 Luca Giorgi, ***@***.***> wrote: After #25 <#25> , new images display the full python version when launching into the JupyterLab main menu. For consistency with the Dashboard spawner page, I would suggest dropping the .z stream from the version string. @guimou <https://github.com/guimou> I understand you requested this to enable users to deal with multiple kernel versions, do you think it would be likely for users to use multiple kernel versions with the same minor but different patch? Perhaps it would be possible to only show the .z stream when two kernels with the same minor versions are detected? — Reply to this email directly, view it on GitHub <#49>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/AA6C4YUSFTVAF2LCGSR2GRDW2X3B7ANCNFSM6AAAAAAVRHJBCY> . You are receiving this because you were mentioned.Message ID: ***@***.***>

[harshad16]

How to test code in local system:

1. Make the changes in the notebook and build it with following code:
   podman build -t runtime . --build-arg BASE_IMAGE=[quay.io/opendatahub/workbench-images:jupyter-minimal-ubi9-python-3.9-2023a-20230605](http://quay.io/opendatahub/workbench-images:jupyter-minimal-ubi9-python-3.9-2023a-20230605)
2. Run the code to test:
   podman run -p 8888:8888 localhost/runtime
3. Make sure the python version z stream is not showing.

[harshad16]

PR Under review
Moved this to next sprint 1.31.