Getting Started Computational Physics at SFU uses Python 3 from the Anaconda distribution. The documentation on this website will cover using Jupyter notebooks on the SFU Syzygy online servers. As an ...

There's nothing quite like running Python code on your self-hosted Jupyter Notebook server ...

Jupyter Notebook installation and setup The easiest way to create and work with Jupyter Notebooks for Python is to set up an instance of the Anaconda distribution of Python.

Any Python module that runs well in a notebook interface (essentially, anything that writes to stdout as part of its behavior) is a good candidate for this. Sharing code and data generally.