Excel offers an intuitive graphical user interface for pivot tables, while pandas provides greater flexibility and control through its Python-based programming interface.

Pandas allows us to easily create pivot tables with a built-in .pivot () method. In order to create a pivot table, we need to just call the dataframe.pivot () method and specify the index column, the ...

Pandas makes it easy to quickly load, manipulate, align, merge, and even visualize data tables directly in Python.

Open Excel, and you will see a new tab in the ribbon at the top that says PyXLL.

“The ability to run Python in Excel simplifies McKinney's reporting workflows. We used to manipulate data structures, filter, and aggregate data in a Jupyter Notebook, and build visuals in Excel. Now ...

In collaboration with Anaconda, an enterprise Python repository, Microsoft is making popular Python libraries like pandas, statsmodels, and Matplotlib available within Excel.