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

Pandas is a necessary component of the data science life cycle (Python data analysis). It is the most well-known and widely used Python package for data research, along with NumPy in matplotlib.

Stefanie Molin's new book, “Hands-On Data Analysis with Pandas" is about using the powerful pandas library to get started with machine learning in Python.

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