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Data Science at the Command Line, 2nd Edition (2021)
This thoroughly revised guide demonstrates how the flexibility of the command line can help you become a more efficient and productive data scientist. You’ll learn how to combine small yet powerful command-line tools to quickly obtain, scrub, explore, and model your data. To get you started, author Jeroen Janssens provides a Docker image packed with over 100 Unix power tools—useful whether you work with Windows, macOS, or Linux.
Traditional computer and data science curricula all too often mistake the command line as an obsolete relic instead of teaching it as the modern and vital toolset that it is. Only well into my career did I come to grasp the elegance and power of the command line for easily exploring messy datasets and even creating reproducible data pipelines for work. Dan Nguyen, data scientist, former news application developer at ProPublica, and former Lorry I. Lokey Visiting Professor in Professional Journalism at Stanford University
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