Python for Everybody: Exploring Data Using Python 3

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

Exploratory data analysis taught as a working process: import and clean the data, explore one variable, then pairs, then build models. Every technique is shown as Python code applied to a real national survey dataset.

Allen B. Downey

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