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.

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

Still using Excel for your data analysis? Learn how to leverage Python so you can work with larger datasets and automate repetitive tasks.

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

This will enable users to perform complex statistical analysis, advanced visualizations, predictive analytics, and machine learning in Excel.