This enables you to analyze massive datasets quickly. Additionally, PyXLL-Jupyter also has better visualization in places where Excel's native graphs and charts fail to deliver.

Conclusion This for me was a pretty good learning on how to use Pandas and Jupyter with a real example and how to manipulate and query data.

Python’s Pandas library allows for advanced data manipulation, statistical analysis, and exploration directly within Excel, streamlining workflows.

Excel gets containerized, cloud-based Python analytics and visualization powers Visualization and analytics tools available in preview, but may be paywalled.