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Data Science at the Command Line by Jeroen Janssens

Data Science at the Command Line

Obtain, Scrub, Explore, and Model Data With Unix Power Tools

Jeroen Janssens

O'Reilly Media · Print & ebook · September 21, 2021

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

Machine LearningData MiningData Sciencescience
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Who it’s for
Use Unix command-line tools to obtain, scrub, explore, and model data in a science workflow.
Themes
Command-line data science, Data cleaning and exploration, Statistical modeling
Genres
Data Science, Data Mining, Machine Learning

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About this book

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.

Continue reading

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

Unix Data Tools

Use Unix command-line tools to obtain, scrub, explore, and model data in a science workflow.

Come here for

  • Obtaining data from websites, APIs, databases, and spreadsheets
  • Creating tools from one-liners and existing Python or R code

Expect

  • Scrubbing text, CSV, HTML, XML, and JSON files
  • Dimensionality reduction, regression, and classification algorithms

Where it sits

Data Science55%
Machine Learning35%
Data Mining26%

Percentages are BookFrontier’s reading of the book.

Publisher categories

  • Data Science
  • Database Administration
  • Linux Systems
  • Math & Stats Software
Show all 5 publisher categories
  • Machine Learning
Authors
Jeroen Janssens
Publisher
O'Reilly Media
Published
September 21, 2021
Format
Print & ebook
Theme
Command-line data science · Data cleaning and exploration · Statistical modeling
Reading lane
Data Science