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Data Science at the Command Line: Facing the Future with Time-Tested Tools
Contributor(s): Janssens, Jeroen (Author)
ISBN: 1491947853     ISBN-13: 9781491947852
Publisher: O'Reilly Media
OUR PRICE:   $40.49  
Product Type: Paperback - Other Formats
Published: October 2014
* Not available - Not in print at this time *
Additional Information
BISAC Categories:
- Computers | Data Processing
- Computers | Databases - General
Dewey: 005.756
Physical Information: 0.49" H x 6.91" W x 9.27" (0.83 lbs) 212 pages
 
Descriptions, Reviews, Etc.
Publisher Description:

This hands-on 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--whether you're on Windows, OS X, or Linux--author Jeroen Janssens introduces the Data Science Toolbox, an easy-to-install virtual environment packed with over 80 command-line tools.

Discover why the command line is an agile, scalable, and extensible technology. Even if you're already comfortable processing data with, say, Python or R, you'll greatly improve your data science workflow by also leveraging the power of the command line.

  • Obtain data from websites, APIs, databases, and spreadsheets
  • Perform scrub operations on plain text, CSV, HTML/XML, and JSON
  • Explore data, compute descriptive statistics, and create visualizations
  • Manage your data science workflow using Drake
  • Create reusable tools from one-liners and existing Python or R code
  • Parallelize and distribute data-intensive pipelines using GNU Parallel
  • Model data with dimensionality reduction, clustering, regression, and classification algorithms

Contributor Bio(s): Janssens, Jeroen: -

Jeroen Janssens is an assistant professor of data science at Tilburg University. As an independent consultant and trainer, he helps organizations making sense of their data. Previously, he was a data scientist at Elsevier in Amsterdam and startups YPlan and Visual Revenue in New York City. Jeroen holds an MSc in artificial intelligence from Maastricht University and a PhD in machine learning from Tilburg University. He's passionate about building open source tools for data science.