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I am running a user-managed JupyterLab notebook in the Google Cloud Platform environment. Initially, I could successfully execute the code with the expected outputs, without any hassles. However, recently I started facing Kernel issues. It is in a 'Connecting' state forever and throws a Kernel Disconnected error after a few hours. I am unable to perform a simple print/math operation.

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As a workaround, I tried reset/restarting the instance but the issue still persists. I looked for idle-timeout settings if that's the culprit, but it is unavailable on a user-managed notebook.

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If anyone has come across such issues on the JupyterLab notebook in the GCP environment, your inputs are valuable.

pradeepvaranasi
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  • It seems like there might be duplicate library names and that might be conflicting with the startup script. Have you installed any packages recently? – kiran mathew Apr 12 '23 at 14:01

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