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If you install SageMath using conda, does it end up as part of a "conda" python? In that case, I would think you can just revert to the usual jupyter way of installing kernels. For Gap you'd end up following the instructions at http://gap-packages.github.io/JupyterKernel/doc/chap1.html#X8360C04082558A12 and for the other kernels there will be similar documentation (in most cases there will be some "pip install" procedure). You should make sure that you're calling the right python, of course.