OK, the last mess was my error. I had multiple versions of R installed,
one by conda and an older global R. Naturally this caused problems.
Getting rid of the older R solved the problem. Everything is now good.
Thanks, all!
This whole process is still a bit daunting for us amateurs. I wish
OK, my error. I had multiple versions of R installed, one through conda
and a global R. Naturally, this caused problems. Everything is now good.
Thanks, all!
Amateurs like me still find this whole process a little daunting; I
wouldn't have figured it out without your help. I wish it were as
Thank you so much! I’m almost there.
Isuru’s suggestion of using conda looked like it might be the simplest
thing, but Nils’ post was very informative. I’m learning good stuff.
Massive thanks to both of you!
So I installed conda, which installed Python 3.8. I couldn’t then Sage
9.1, whic
Thank you so much! I’m almost there.
Isuru’s suggestion of using conda looked like it might be the simplest
thing, but Nils’ post was very informative. I’m learning good stuff.
Massive thanks to both of you!
gap and gp are fine, *but not R*. Here's what I did:
I installed conda, which
I suggest installing sage through conda.
https://doc.sagemath.org/html/en/installation/conda.html
Conda is a package manager that runs on linux and osx and sagemath is
available as a binary package. There are lots of jupyter kernels
pre-packaged, so it's only a matter of typing,
conda insta
On Monday, August 3, 2020 at 9:26:38 PM UTC-7, Tim McLarnan wrote:
>
> 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
>
