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978-1-491-95766-0
[LSI]
Python for Data Analysis
by Wes McKinney
Copyright © 2018 William McKinney. All rights reserved.
Printed in the United States of America.
Published by O’Reilly Media, Inc., 1005 Gravenstein Highway North, Sebastopol, CA 95472.
O’Reilly books may be purchased for educational, business, or sales promotional use. Online editions are
also available for most titles (http://oreilly.com/safari). For more information, contact our corporate/insti‐
tutional sales department: 800-998-9938 or corporate@oreilly.com.
Editor: M
arie Beaugureau
Production Editor: Kristen Brown
Copyeditor: Jasmine Kwityn
Proofreader: Rachel Monaghan
Indexer: L
ucie Haskins
Interior Designer: David Futato
Cover Designer: Karen Montgomery
Illustrator: Rebecca Demarest
October 2012: First Edition
October 2017: Second Edition
Revision History for the Second Edition
2017-09-25:
First Release
See
http://oreilly.com/catalog/errata.csp?isbn=9781491957660 for release details.
The O’Reilly logo is a registered trademark of O’Reilly Media, Inc. Python for Data Analysis, the cover
image, 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.
Table of Contents
Preface. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . xi
1. Preliminaries. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1
1.1 Wha
t Is This Book About? 1
What Kinds of Data? 1
1.2 Why Python for Data Analysis? 2
Python as Glue 2
Solving the “Two-Language” Problem 3
Why Not Python? 3
1.3 Essential Python Libraries 4
NumPy 4
pandas 4
matplotlib 5
IPython and Jupyter 6
SciPy 6
scikit-learn 7
statsmodels 8
1.4 Installation and Setup 8
Windows 9
Apple (OS X, macOS) 9
GNU/Linux 9
Installing or Updating Python Packages 10
Python 2 and Python 3 11
Integrated Development Environments (IDEs) and Text Editors 11
1.5 Community and Conferences 12
1.6 Navigating This Book 12
Code Examples 13
Data for Examples 13
iii
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