data_science_at_the_command_line.pdf

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Data
Science
at the
Command Line
FACING THE FUTURE WITH TIME-TESTED TOOLS
Jeroen Janssens
The Unix philosophy
Data Science at the Command Line
“
of simple tools, each
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 has developed 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 text, CSV, HTML/XML, and JSON
Explore data, compute descriptive statistics, and create
visualizations
Manage your data science workflow
Create reusable command-line tools from one-liners and
existing Python or R code
Parallelize and distribute data-intensive pipelines
Model data with dimensionality reduction, clustering,
regression, and classification algorithms
doing one job well, then
cleverly piped together,
is embodied by the
command line. Jeroen
expertly discusses how
to bring that philosophy
into your work in data
science, illustrating how
the command line is not
only the world of file input/
output, but also the world
of data manipulation,
exploration, and even
modeling.
”
■
■
Associate Professor in the Department of
Applied Physics and Applied Mathematics
at Columbia University and Chief Data
Scientist at
The New York Times
—Chris H. Wiggins
■
■
This book explains how
“
to integrate common
data science tasks into
a coherent workflow. It's
not just about tactics for
breaking down problems,
it's also about strategies
for assembling the pieces
of the solution.
Jeroen Janssens,
a Senior Data Scientist at YPlan in New York, specializes in
machine learning, anomaly detection, and data visualization. He holds an MSc in
Artificial Intelligence from Maastricht University and a PhD in Machine Learning
from Tilburg University. Jeroen is passionate about building open source tools for
data science.
”
mathematical consultant
—John D. Cook
DATA /DATA SCIENCE
Twitter: @oreillymedia
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CAN $41.99
US $39.99
ISBN: 978-1-491-94785-2
Data Science at the
Command Line
Jeroen Janssens
Data Science at the Command Line
by Jeroen Janssens
Copyright © 2015 Jeroen H.M. Janssens. All rights reserved.
Printed in the United States of America.
Published by O’Reilly Media, Inc., 1005 Gravenstein Highway North, Sebastopol, CA 95472.
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Editors:
Mike Loukides, Ann Spencer,
and Marie Beaugureau
Production Editor:
Matthew Hacker
Copyeditor:
Kiel Van Horn
Proofreader:
Jasmine Kwityn
October 2014:
First Edition
Indexer:
Wendy Catalano
Interior Designer:
David Futato
Cover Designer:
Ellie Volckhausen
Illustrator:
Rebecca Demarest
Revision History for the First Edition
2014-09-23:
First Release
See
http://oreilly.com/catalog/errata.csp?isbn=9781491947852
for release details.
The O’Reilly logo is a registered trademark of O’Reilly Media, Inc.
Data Science at the Command Line,
the
cover image of a wreathed hornbill, and related trade dress are trademarks of O’Reilly Media, Inc.
While the publisher and the author have used good faith efforts to ensure that the information and
instructions contained in this work are accurate, the publisher and the author disclaim all responsibility
for errors or omissions, including without limitation responsibility for damages resulting from the use of
or reliance on this work. Use of the information and instructions contained in this work is at your own
risk. If any code samples or other technology this work contains or describes is subject to open source
licenses or the intellectual property rights of others, it is your responsibility to ensure that your use
thereof complies with such licenses and/or rights.
978-1-491-94785-2
[LSI]
To my wife, Esther. Without her encouragement, support,
and patience, this book would surely have ended up in /dev/null.

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