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 ...

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

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.

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

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.

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.

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 ...

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