As someone who often works with Python scripts, Jupyter Notebook is my favorite tool for making notes during lectures and sharing my painstakingly-written code with my programming friends and rivals.

Add-on to Jupyter Notebooks enables a literate Python development style that gives you high-quality documentation, tests, continuous integration, and packaging for free.

Jupyter Notebook lets you author visualizations, but also share them and allow interactive changes to the shared code and data set. Code sharing.

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.

A 2019 study found that just 24% of 863,878 publicly available Jupyter notebooks on GitHub could be successfully re-executed, and only 4% produced the same results (J. F. Pimentel et al. in 2019 ...