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.

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

Some members of the Microsoft 365 Insiders program can now try out the combination of Python, Excel and the Anaconda Python repository.

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

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

Microsoft is integrating Python into its Excel app. A public preview is available for Microsoft 365 subscribers now and all the Python code runs on the Microsoft Cloud.