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.

The advantage of using Jupyter instead of an ordinary interactive interpreter like Python's is that Jupyter automatically saves a record of what you do.

Deploying the Jupyter Notebook container Using Proxmox Typically, self-hosted apps can be configured in a variety of ways, and Jupyter Notebook is no different.

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.

Jupyter Notebook is not a full-blown development environment for Python. Many of the features you would expect to find in an IDE—e.g., interactive debugging, code completion, and module ...

It covers the use of Jupyter Notebooks, a popular browser-based development environment, and popular data-science Python libraries.