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

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.

Use the popular Pandas library for data manipulation and analysis to read data from two files and join them into a single dataset.

Still using Excel for your data analysis? Learn how to leverage Python so you can work with larger datasets and automate repetitive tasks.

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

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, ...