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.

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

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.

Discover how Python in Excel transforms data analysis with advanced features. Is it worth the hype? Find out if it’s right ...

You could sift through websites, but some Python code and a little linear regression could make the job easier. ...

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

Learn about some of the best Python libraries for programming Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL).