Jupyter

Jupyter docker stacks with a custom user

Jupyter allows to set a custom user instead of**_jovyan_** which is the default for all containers of the [Jupyter Docker Stack][1]. You need to change this user or its UID and GID in order to get the permissions right when you mount a volume from the host into the Jupyter container. The following steps are required: Create an unprivileged user and an asociated group on the host. Here we call the user and the group docker_worker Add your host user to the group.

Switching Kernels: Using Python 2.7 and Python 3.5 in Jupyter Notebooks

Jupyter Notebooks are a great way for working with Python interactively. The integration of Python code into documents is very useful for reports or for writing executable documentation of algorithms and functions. The text can be structured and exported in various formats. With the ever increasing popularity of Python based on the data science hype, more and more libraries are available. Although Python3 is considered to be the future of Python, consensus on the question Python 2.