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.

Using Python and Jupyter Notebooks has never been easier than they are with Google Colab ...

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

Jupyter Notebook benefits 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: ...

Why are all of these companies using Jupyter? The biggest reason is that it just works. Another reason is that Python has become the standard for doing data science and machine learning.

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.