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

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 ...

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.

Data manipulation and transformation Let’s understand how Python, especially using the Pandas library, can replicate and surpass Excel’s capabilities. With Excel, you can enter data in cells ...

“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 ...

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

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

Also, Python isn’t limited to automation in Excel only. It opens up a host of other programming possibilities for you. Python is useful in web development, data science, machine learning, and more.