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.

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

Originally developed for data science applications written in Python, R, and Julia, Jupyter Notebook is useful in all kinds of ways for all kinds of projects: Data visualizations.

For data scientists, Python integration with Jupyter Notebooks now enables users to create and share documents that contain live code, equations, visualizations and explanatory text.

Python programming: Microsoft's latest beginners' course looks at developing for NASA projects Microsoft and NASA offer some ideas about how you could apply Python for space exploration.