- Paperback: 212 pages
- Publisher: O'Reilly Media; 1 edition (12 Oct. 2014)
- Language: English
- ISBN-10: 1491947853
- ISBN-13: 978-1491947852
- Product Dimensions: 17.8 x 1.2 x 23.3 cm
- Average Customer Review: 4 customer reviews
Amazon Bestsellers Rank:
533,453 in Books (See Top 100 in Books)
- #455 in Books > Computers & Internet > Computer Science > Databases > Data Storage & Management > Database Management Systems
- #1401 in Books > Computers & Internet > Software & Graphics > Business & Home Office > Home Office Databases
- #1694 in Books > Computers & Internet > Computer Science > Information Systems
Data Science at the Command Line: Facing the Future with Time-Tested Tools Paperback – 12 Oct 2014
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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.
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An example of what I learnt: the section on Rio (R input/output - a wrapper to bring R functions to the commandline) gave me ideas of how much calculation I could be doing direct in my shell, despite being much more of a python user. Of course, a quick google reveals that a very similar package exists for python (pythonpy), which I now use regularly. I'd never have found it out without Data Science at the Command Line.
An extra bonus in this book is the nerdy sense of humour that crops up at points, and might just make you chuckle a little :)
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