000			01775nam a22001697a 4500
005			20250225132909.0
020			_a978-1492087915
082			_a005.7 _bJAN-D
100			_aJanssens, Jeroen
245			_aData Science at the Command Line: _bObtain, Scrub, Explore, and Model Data with Unix Power Tools
250			_a2nd Ed;
260			_aSebastopol CA, _bO'Reilly Media _c2021
300			_a257p,
500			_aThis 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. You'll quickly discover why the command line is an agile, scalable, and extensible technology. Even if you're comfortable processing data with Python or R, you'll learn how to greatly improve your data science workflow by leveraging the command line's power. This book is ideal for data scientists, analysts, engineers, system administrators, and researchers. Obtain data from websites, APIs, databases, and spreadsheets Perform scrub operations on text, CSV, HTML, XML, and JSON files Explore data, compute descriptive statistics, and create visualizations Manage your data science workflow Create your own tools from one-liners and existing Python or R code Parallelize and distribute data-intensive pipelines Model data with dimensionality reduction, regression, and classification algorithms Leverage the command line from Python, Jupyter, R, RStudio, and Apache Spark
504			_aInclude Index.
942			_cBK
999			_c34419 _d34419