Jupyter Notebook installation and setup The easiest way to create and work with Jupyter Notebooks for Python is to set up an instance of the Anaconda distribution of Python.

Microsoft's separate Jupyter notebooks extension aims to improve support for Python's programming language rivals.

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 ...

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

The October 2021 update to Python in Visual Studio Code continues to boost notebook functionality, now adding the ability to debug Jupyter Notebooks.

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.

Your data is in the cloud, and your notebooks connect to it through the Civis Data Science API. You can ship your notebooks code to a production-ready R or Python script, which interacts with the same ...

Jupyter notebooks started out as a tool for Python code exclusively and Anaconda, which produces the leading Python distribution, has been hard at work enhancing the Jupyter notebook facility into ...

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.