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.

Using Docker or Podman Alternatively, you can take the Docker / Podman route and deploy the Jupyter Notebook instance inside your PC (or even a VM, if that's what floats your boat).

In this video from the Blue Waters Symposium, Roland Haas from NCSA presents: Tutorial: How to use Jupyter Notebooks. "Jupyter notebooks provide a web-based interface to Python, R, Julia and other ...

Jupyter Notebook is not a full-blown development environment for Python. Many of the features you would expect to find in an IDE—e.g., interactive debugging, code completion, and module ...

Renaming symbols across different cells in Jupyter notebooks no longer fails when using Pylance (pylance-release#3061). IntelliSense support for matplotlib has been improved when using Pylance thanks ...

Kite's code completions powered deep learning now work with JupyterLab and JupyterHub, helping data scientists as they type Python.