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.

Pandas is a BSD-licensed open source library that provides high-performance, easy-to-use data structures and data analysis tools for Python. The R dataframe data structure has a close equivalent ...

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, ...

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

Also, Python isn’t limited to automation in Excel only. It opens up a host of other programming possibilities for you. Python is useful in web development, data science, machine learning, and more.