For data analysis, the cornerstone package in Python is “Pandas”. It allows you to work with data in the same table format as R and makes it easy to tackle missing data, form new columns and ...

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.

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

Python’s Pandas library allows for advanced data manipulation, statistical analysis, and exploration directly within Excel, streamlining workflows.

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

It outfits Python with new data types for loading data fast from tabular sources, and for manipulating, aligning, merging, and doing other processing at scale. Your first Pandas data set ...

I include the data import and library import commands at the start of each lesson so that the lessons are self-contained. Pandas has a very simple contingency table feature. Below, I specify the two ...