You can use Jupyter Notebooks to share Python code and its output with third parties, to run code with live interactive feedback, or to systematically track and document the progress of your work.

Using Proxmox Typically, self-hosted apps can be configured in a variety of ways, and Jupyter Notebook is no different. If you’re a PVE user, you can leverage the ultra-useful Proxmox VE-Helper ...

feature Apr 22, 2019 7 mins Analytics Data Science Python Jupyter Notebook combines live code, graphics, visualizations, and text in shareable notebooks that run in a web browser Credit: NASA / JPL ...

TOOLBOX 30 October 2018 Why Jupyter is data scientists’ computational notebook of choice An improved architecture and enthusiastic user base are driving uptake of the open-source web tool.

Because of the client/server architecture, it is very simple to share notebooks with other users. You can — in theory — use Jupyter for anything you could use Python for.