Hi Aviv Noah,
Thank you for reaching out to Microsoft Q & A forum.
It seems the issue with the Jupyter notebook kernel is causing some disruptions. Based on similar scenarios, here are a few steps you can try to resolve the problem:
1.Manually Select a Kernel:
If the kernel does not connect automatically and displays the “Kernel not connected” error, click the dropdown menu in the below error message.
From the list of kernels, select one to connect. Based on experience, Python 3.8 works reliably and should allow you to run your code without issues.
2.Restart the Kernel (if necessary):
If the selected kernel becomes unresponsive, restart it by navigating to Run all> Restart Kernel.
3.Check Sandbox Resources:
Ensure that your sandbox environment is still active and has not expired. If the sandbox has expired, you may need to reactivate it or start a new session.
4.Address Browser and Cache Issues:
Clearing your browser cache or running the notebook in an incognito/private browsing mode can sometimes resolve connectivity problems.
Please feel free to contact us if you have any additional questions.
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