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Data Science at the Command Line: Obtain, Scrub, Explore, and Model Data with Unix Power Tools


Price: $65.99 - $39.49
(as of Sep 30, 2024 09:54:29 UTC – Details)



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.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 spreadsheetsPerform scrub operations on text, CSV, HTML, XML, and JSON filesExplore data, compute descriptive statistics, and create visualizationsManage your data science workflowCreate your own tools from one-liners and existing Python or R codeParallelize and distribute data-intensive pipelinesModel data with dimensionality reduction, regression, and classification algorithmsLeverage the command line from Python, Jupyter, R, RStudio, and Apache Spark

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Sharing the knowledge of experts

O’Reilly’s mission is to change the world by sharing the knowledge of innovators. For over 40 years, we’ve inspired companies and individuals to do new things (and do them better) by providing the skills and understanding that are necessary for success.

Our customers are hungry to build the innovations that propel the world forward. And we help them do just that.

Publisher ‏ : ‎ O’Reilly Media; 2nd edition (September 21, 2021)
Language ‏ : ‎ English
Paperback ‏ : ‎ 280 pages
ISBN-10 ‏ : ‎ 1492087912
ISBN-13 ‏ : ‎ 978-1492087915
Item Weight ‏ : ‎ 2.31 pounds
Dimensions ‏ : ‎ 7 x 0.5 x 10 inches

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