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When I attempt to run
$ jupyter qtconsole
The console shows up, with the message
Kernel died, restarting
________________________
Kernel died, restarting
________________________
Kernel died, restarting
________________________
Kernel died, restarting
________________________
Kernel died, restarting
________________________
Which continues.
Trying $ jupyter qtconsole --debug didn't print anything else, and neither has adding
c.Application.log_level = 0
c.Session.debug = True
into $USERHOME/.jupyter/jupyter_qtconsole_config.py
Also, I found nothing in $USERHOME/.ipython/profile_default/log/ and the other directories around there.
Nothing has changed in my configuration since last time I started up jupyter-qtconsole.
How can I at least find out what's going wrong with the kernel? Surely there is some option in Jupyter to get the kernel's STDERR output to see what exception had upset it?
207
A kernel error occurs basically when you try opening a python 3 file in the wrong directory. The truth is Jupyter and Python are two different software entirely. So, a kernel error occurs when Jupyter fails to connect with a specific version of Python.
You can also go to "File" > "Close and Halt" within Jupyter if you still have the notebook open on your screen. Once you've closed the other notebooks, you can restart your dead kernel by going to "Kernel" > "Restart" within Jupyter.
Restarting your kernel will reset your Jupyter notebook and remove all variables or methods you have defined. You will not lose the code written by you. Just that, you have to run all the code cell again to set the variables and methods.
The kernel has died, and the automatic restart has failed. It is possible the kernel cannot be restarted. If you are not able to restart the kernel, you will still be able to save the notebook, but running code will no longer work until the notebook is reopened.
I run
spyder --show-console
when I receive in spyder
Kernel died, restarting
I see message in console
Intel MKL FATAL ERROR: Cannot load libmkl_p4m.so or libmkl_p4.so.
It was helpfull for me
conda install nomkl numpy scipy scikit-learn numexpr
conda remove mkl mkl-service
Run this-
conda remove ipykernel ipython jupyter_client jupyter_core traitlets ipython_genutils
conda clean -tipsy
conda install ipykernel ipython jupyter_client jupyter_core traitlets ipython_genutils
jupyter notebook
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