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.

Code can run directly from text files as well as Jupyter Notebook files, and many common file formats for both code and data can be rendered with live previews.

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

For instance, PyXLL-Jupyter can integrate data from your Excel workbook into a Jupyter Notebook using a single command. This enables you to analyze massive datasets quickly.