I'm sure this is an uninformed question from an old man who is finally accepting that the old SageNB Notebooks are going away, and who is excitedly and very belatedly stepping into the new world of Jupyter.
On CoCalc or with the old SageNB Notebooks, there are lots of kernels to choose amongst. The Jupyter notebooks in the current OS X binaries only offer SageMath and Python kernels. How does a fairly naive user install kernels for R, gp, and gap? I would have expected them just to be there automatically, as they were with the old Notebooks. I tried copying the kernel folders from CoCalc and editing them in what I thought was the right way and putting them with the kernel folders on my machine. This produced kernels that show up in Jupyter, but that don't work. No doubt someone who knows the right things to put in the .json files could make this work, but I can't. This has to be an absurdly complicated approach, though. Surely there's just some trivial thing I don't know about. Apart from writing the occasional function in SageMath, I've never worked with Python or Jupyter. I'd really like to have these kernels available, but I want to run a local SageMath installation because of unreliable Internet here in the woods. I can stay with the old Notebooks, but I'd like to be able to grow as SageMath does. --Tim -- You received this message because you are subscribed to the Google Groups "sage-support" group. To unsubscribe from this group and stop receiving emails from it, send an email to sage-support+unsubscr...@googlegroups.com. To view this discussion on the web visit https://groups.google.com/d/msgid/sage-support/87a63fbd-deca-4bf1-b112-ffb5825d71d6o%40googlegroups.com.
