These are my go-to libraries for Python data crunching.

Legacy R&D systems fragment data, limiting integration, collaboration and AI readiness across product development workflows.

Jupyter Notebook is a tool to run and write Python code easily, showing results right away, and allowing you to combine code, charts, notes, and files in one place ...

$ git clone https://github.com/mariobuikhuizen/ipyvue.git $ cd ipyvue $ pip install -e ".[dev]" $ jupyter nbextension install --py --symlink --sys-prefix ipyvue ...

To see the extension in action, open the example notebook included in the Binder demo. This extension tries to handle credentials for HTTP(S) connections (if you don't have set up a credential manager ...

The power of Python trumps Excel workbooks.