One of the most popular tools among data scientists are Jupyter Notebooks. The open source web application provides an environment to document and execute code, inspect the results and visualize data without leaving the environment. We show, how Docker and kubernetes enable the deployment of a pre-configured data science environment, the so-called JupyterHub. The shared resources of the multi-user version of the notebooks can be managed efficiently by kubernetes. This makes it easy for business analysts and data scientist to access computational environments and resources in the cloud without having to worry about dependency management, installation and maintenance tasks. #kubernetes #jupyterhub #datascience
