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.

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

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

Data analysis and visualization: Pandas and Matplotlib Python’s dominance in data analysis is evident through libraries such as Pandas and Matplotlib.

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

Data: JetBrains and Python Software Foundation At 39 percent is the mix of libraries used most commonly in data analysis applications: NumPy, Pandas, Matplotlib, SciPy, and so on.