DataScienceattheCommandLineJanssens2014pdf

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DATA/DATA SCIENCE

Data Science at the Command Line

ISBN: 978-1-491-94785-2

US $39.99 CAN $41.99

“

The Unix philosophy

of simple tools, each

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.

”

—Chris H. Wiggins

Associate Professor in the Department of

Applied Physics and Applied Mathematics

at Columbia University and Chief Data

Scientist at The New York Times

“

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.

”

—John D. Cook

mathematical consultant

Twitter: @oreillymedia

facebook.com/oreilly

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 workow

■ 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 classication algorithms

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.

Jeroen Janssens

Data

Science

at the

Command Line

FACING THE FUTURE WITH TIME- TESTED TOOLS

Data Science at the Command Line

Janssens

DATA/DATA SCIENCE

Data Science at the Command Line

ISBN: 978-1-491-94785-2

US $39.99 CAN $41.99

“

The Unix philosophy

of simple tools, each

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.

”

—Chris H. Wiggins

Associate Professor in the Department of

Applied Physics and Applied Mathematics

at Columbia University and Chief Data

Scientist at The New York Times

“

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.

”

—John D. Cook

mathematical consultant

Twitter: @oreillymedia

facebook.com/oreilly

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 workow

■ 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 classication algorithms

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.

Jeroen Janssens

Data

Science

at the

Command Line

FACING THE FUTURE WITH TIME- TESTED TOOLS

Data Science at the Command Line

Janssens

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