Python and Pandas offer many features you can’t get from spreadsheets alone. For one, they let you automate your work with data and make the results reproducible.

Using the `xl` function, you can load connected data into a Pandas DataFrame, seamlessly combining Excel’s familiar interface with Python’s advanced analytical tools.

Overview The right Python libraries can dramatically improve speed, efficiency, and maintainability in 2025 ...

The simplest form of regression in Python is, well, simple linear regression. With simple linear regression, you're trying to ...

You don't need to be a data scientist to use Pandas for some basic analysis. Traditionally, people who program in Python use the data types that come with the language, such as integers, strings, ...

Python libraries like Pandas, NumPy, SciPy, and Matplotlib streamline data cleaning, statistical analysis, and visualization directly within Excel.