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 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.
@miklo fug it, ill move it to its own repo now so i can open-source the docker side of it