David Crook shows how to use Jupyter notebooks inside Kubernetes:
We start with a 16.04 image, we run some upgrades, install python, upgrade pip, install our requirements and expose port 8888 (jupyter’s default port).
Here is our requirements.txt file
numpypandasscipyjupyterazure_commonazure-storagescikit-learnnltkplotlyNotice how Jupyter is in there, I also added a few other things that I very commonly use including numpy, pandas, plotly, scikit-learn and some azure stuff.
The big benefit to doing this is that your installation of Jupyter can exist independently from your notebooks, so if you accidentally mess up Jupyter, you kill and reload from the image in a couple commands.