Jupyter Notebook use cases The most common use cases for Jupyter Notebook are data science, mathematics, and other research projects that involve visualizations of data or formulas.

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 an open source web environment for data visualization. The modular software is used to model data in data science, computing, and machine learning.

Earlier this month, Microsoft announced the public preview of .NET Core support to Jupyter Notebooks, allowing the use of code written in C# and F#. This release is part of the Try .NET project, an in ...

In the regular monthly update to Python tooling for Visual Studio Code, Microsoft announced an improved setup experience for Jupyter notebooks, along with new inlay type hints for the Pylance language ...