removing redundant ipython kernels

Question

I have currently 3 environments: root(base), aind-dl, py2env

So, for easy working, I've installed the conda extensions: nb_conda, nb_conda_kernels

and when I run $: jupyter notebook the nb_conda_kernel detects 5 kernels which are redundant and in the listing. Some kernels gives an error of not existing.

How do I remove the redundant kernels?

Envs i have:

redundant kernels:

https://imgur.com/A2hMyIO these are env i have. and https://imgur.com/Fk2FxkN these are 2 redundant kernel detected by nb_conda_kernels Anaconda, conda root, and default belongs to same kernel. — Y. Aakash, Mar 30 '18 at 04:58
Please do not post output from the terminal in images, and please edit your post to include the content. — darthbith, Mar 30 '18 at 14:35

score 6 · Answer 1 · edited Nov 15 '20 at 18:06

6

Normally, you can use jupyter kernelspec remove <env_name> to remove a specific kernel.

In your case, your conda root and default seem to be leftovers from an Anaconda-Python 2 installation. The related discussion for this issue may be helpful. The idea is to disable/remove nb_conda. I have yet to run into this issue with Anaconda3 since I manage multiple kernels manually using the instructions here.

edited Nov 15 '20 at 18:06

sophros

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answered Apr 16 '18 at 04:43

prusswan

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It works with `jupyter kernelspec remove `. – Antoni Parellada Apr 28 '20 at 12:54
@AntoniParellada What about base env? How to remove base kernel from list? – scruel Nov 14 '22 at 09:22

score 0 · Answer 2 · answered May 23 '23 at 09:20

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You can also do this:

jupyter kernelspec uninstall redundant_kernel

answered May 23 '23 at 09:20

zabidima

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removing redundant ipython kernels

2 Answers2