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.

md.direct.get_morningstar_data_sets() import pandas as pd import statsmodels.formula.api as smf First, fetch the data needed for style analysis of equity funds.

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

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

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

But that could change thanks to an open-source Python data-analysis library called Pandas, which offers many of the same analytics tools as R in a language developers are already using, but in ...