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.

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

Some members of the Microsoft 365 Insiders program can now try out the combination of Python's data analysis and visualization libraries, Excel's features and the Anaconda Python repository.

In this post, we will explore everything from basic macro creation to complex data analysis and visualization and help you decide which language is best suited for your Excel automation needs.

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

Data analysis can be complicated and messy, but some tools help make it easy. Here's why you should turn to Excel's Power Query for data analysis.

Discover Excel’s newest features: advanced text analysis and seamless Forms integration for a smoother data experience.