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.

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.