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Can I read Data Science at the Command Line: Obtain, Scrub, Explore, and Model Data with Unix Power Tools. Second Edition on EtoBox?
Data Science at the Command Line: Obtain, Scrub, Explore, and Model Data with Unix Power Tools. Second Edition by Jeroen Janssens is a nonfiction available to read on EtoBox.
What is Data Science at the Command Line: Obtain, Scrub, Explore, and Model Data with Unix Power Tools. Second Edition about?
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 80 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, and engineers; software and machine learning engineers; and system administrators.Obtain data from websites, APIs, databases, and spreadsheetsPerform scrub operations on text, CSV, HTM, XML, and JSON filesExplore data, compute descriptive statistics, and create visualizationsManage your data science workflowCreate reusable command-line tools from one-liners and existing Python or R codeParallelize and distribute data-intensive pipelinesModel data with dimensionality
Who reads Data Science at the Command Line: Obtain, Scrub, Explore, and Model Data with Unix Power Tools. Second Edition?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Jeroen Janssens
- Publisher
- O'Reilly Media, Incorporated
- Published
- 2021
- Language
- EN
- ISBN
- 9781492087915
- Category
- nonfiction
- Subjects
- Computer Science, Engineering, Computer Technology
- Rating
- 4.5 / 5 (25 ratings)
- Updated
- 2026-03-14
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