🇳🇱
If anyone is interested wrote a docker container I am using that not only has every python scientific tool under the sun in it (derived from the official variants of the notebooks), but also contains kernels for several popular languages including Haskell, Ruby, R, Julia, and of course Python 3. I will likely be adding more as time goes on.
If you have docker installed all you have to do is run it and you are good. the image is on dockerhub under stockstack/jupyterlab
@freemo nice work!
@freemo Could you add some description and/or docker file for this image in docker hub ?
@miklo since it has become generic and not specific to stockstack (and app im working on) I intend to move its location in the hub completely in the near future. (maybe even today).. In the meantime are you looking for a copy of the dockerfile for your own use?
@miklo fug it, ill move it to its own repo now so i can open-source the docker side of it
@freemo I'm just asking... Using docker image given as "blackbox" is a little bit hard.
@miklo yes I agree, ill put up the sources shortly.
UPDATE: I have moved the image over to modjular/jupyter-all so its not bound up with my closed source project. This has also allowed me to move the related files like the Dockerfile and docker-compose file over to an open-source repo.
https://git.qoto.org/modjular/jupyter-all
@miklo