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

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

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

Excel automation has historically been done with VBA, but is Python ready to take up the mantle?

The pandas library offers the possibility to read, edit and change data from Excel workbooks using Python.

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

With native Python integration with Excel, users will be able to use the new “PY” function to input Python code directly into Excel cells.

Since the creation of python reading in files has become much easier with each update and with each added package. To work with csv and xlsx files the easiest package is the pandas package because it ...

Some members of the Microsoft 365 Insiders program can now try out the combination of Python, Excel and the Anaconda Python repository.