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
>
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.
Problems with the Ubuntu packaging should be reported as an Ubuntu bug.
On Sunday, August 2, 2020 at 11:31:57 PM UTC-7, Samuel Tang wrote:
>
> Hi,
>
> Thanks for your quick response. I am running on Ubuntu 20.04, and
> installed Sagemath via `sudo apt-get install sagemath`.
> From what I recorded
