[Jeroen Janssens]Data Science at the Command Line Facing the Fut torrent

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

Publisher: O'Reilly Media; 1 edition (October 12, 2014)
Language: English
ISBN-10: 1491947853
ISBN-13: 978-1491947852

Editorial Reviews
About the Author

Jeroen Janssens is a senior data scientist at YPlan in New York City. His specialties are in machine learning, anomaly detection, and data visualization. Jeroen is passionate about building open source tools for doing data science. He obtained a B.Sc. in Life Sciences and an M.Sc. in Artificial Intelligence, both cum laude from Maastricht University, the Netherlands. Jeroen completed his Ph.D. in Machine Learning at the Tilburg center for Cognition and Communication, Tilburg University. Outside of work, you may find him biking the Brooklyn Bridge, beatboxing, or eating stroopwafels