Jupyter is an offshoot of the IPython project, which aims to create a better interactive mode for Python. While Jupyter incorporates IPython, it's still available as a standalone program.

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.

On the other hand, PyXLL-Jupyter operates locally, on your device. This gives you total control over your Python environment and data.

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.

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 ...

NVIDIA has published a new article detailing how you can create GPU dashboards in the Jupyter Lab. The tutorial has been written by Jacob Tomlinson, Ken Hester and Rick Zamora using the Python ...

Microsoft is rolling out a new Python Environments extension in VS Code, now reaching 20% of stable channel users. The tool ...