Data Science Data Science feed

Learn more about documentation at scale in this interview with Tom Caswell, Matplotlib lead developer.

Explore the universe with NumPy, SciPy, Scikit-Image, and Astropy.

In part 2 of this series on machine learning with Python, train and use a data model to predict plays from a National Football League dataset.

In part 1 of this series on machine learning with Python, learn how to prepare a National Football League dataset for training.

Do your own data science exploration and analysis on the annual developer survey's dataset.

Doing data science with Python offers limitless potential for you to parse, interpret, and structure data in meaningful and enlightening ways.

There is a way to explore GitHub data without any local infrastructure using open source datasets.

Case study with NASA logs to show how Spark can be leveraged for analyzing data at scale.