Data Science at the Command Line

This thoroughly revised guide demonstrates how the flexibility of the command line can help data scientists become more efficient and productive.

It teaches how to combine Unix power tools to quickly obtain, scrub, explore, and model data, even for those comfortable with Python or R. The book includes a Docker image with over 100 Unix tools, emphasizing agility, scalability, and extensibility in data workflows.