Within the Python in Excel environment, you can directly create and interact with dataframes (the fundamental data structure in Python's powerful pandas library).

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

Discover how Python in Excel transforms data analysis with advanced features. Is it worth the hype? Find out if it’s right for your workflow.

With its Anaconda Distribution for Python running in Azure, Python in Excel will call common Python libraries, including pandas (data manipulation), statsmodels (advanced statistical modeling ...

“Now you can do advanced data analysis in the familiar Excel environment by accessing Python directly from the Excel ribbon,” Stefan Kinnestrand, the GM for Modern Work at Microsoft, explains ...

The cumbersome process of using Python code in Microsoft Excel data-driven projects will soon be eased by the company's new "Python in Excel" initiative, currently in public preview. Integrating the ...

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

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

Stefanie Molin's new book, “Hands-On Data Analysis with Pandas" is about using the powerful pandas library to get started with machine learning in Python.