You can use Jupyter Notebooks to share Python code and its output with third parties, to run code with live interactive feedback, or to systematically track and document the progress of your work.

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

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.

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 ...

Jupyter Notebook Debugging in Animated Action (source: Microsoft). Debugging was also improved for Python projects in general. "When working with workspaces with no launch.json configuration present, ...

One click to run NGC Jupyter Notebooks on a Google Cloud Vertex AI Workbench. Automated setup with optimal configuration, preloaded dependencies, and ready-to-run Notebooks.

The folks at Project Jupyter have announced a major update to the JupyterLab Desktop. JupyterLab Desktop is the cross-platform desktop application for JupyterLab, a web-based interactive development ...

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

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.

The Python ransomware targets those that have accidentally left their environments vulnerable. The researchers set up a honeypot containing an exposed Jupyter notebook application to observe the ...