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When running:
from skimage import data
in jupyter notebook I always get the error : "The kernel appears to have died. It will restart automatically"
I use: Anaconda 4.2.0 (64-bit) Python 3.5.2 scikit-image 0.12.3 np111py35_1
When I run a notebook with python 2.7 kernel it goes fine with no error.
So I guess there is a compatibility issue? But I need to use python 3.5, any suggestion?
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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.
Most kernel errors are often brought about by the failure of the Notebook to connect with other versions of Python. By default, there are no other virtual environments in Jupyter Notebook apart from Python 3. Press CTRL + C and create a new virtual environment using this code.
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.
The restart command causes the Maple kernel to clear its internal memory so that Maple acts (almost) as if just started. •
Problem solved with: conda update mkl
working versions:
mkl 2017.0.1 0
mkl-service 1.1.2 py35_2
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