Think Stats: Exploratory Data Analysis in Python

A compact course book that teaches data science with Python from the first line of code, covering NumPy arrays, pandas DataFrames, data cleaning, and plotting. Short enough to work through in a single term.

Afrand Agah

The most widely used free Python book for people who want to work with data rather than build software. Teaches the language through practical tasks: reading files, scraping web data, calling APIs, and storing results in databases.

Charles R. Severance

A complete tutorial on the scientific Python stack, written by the core developers of the libraries themselves. Covers NumPy, matplotlib, SciPy, pandas, scikit-learn, and image processing, moving from first steps to advanced numerical work.

Gael Varoquaux, Emmanuelle Gouillart, Olav Vahtras, Pierre de Buyl