PythonforDataAnalysis_DataWranglingwithP.epub - (EPUB全文下载)

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Python for Data Analysis
SECOND EDITION
Data Wrangling with Pandas, NumPy, and IPython
Wes McKinney
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/institutional sales department: 800-998-9938 or corporate@oreilly.com
.
Editor: Marie Beaugureau
Production Editor: Kristen Brown
Copyeditor: Jasmine Kwityn
Proofreader: Rachel Monaghan
Indexer: Lucie 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.
978-1-491-95766-0
[LSI]
Preface
Section 1. New for the Second Edition
The first edition of this book was published in 2012, during a time when open source data analysis libraries for Python (such as pandas) were very new and developing rapidly. In this updated and expanded second edition, I have overhauled the chapters to account both for incompatible changes and deprecations as well as new features that have occurred in the last five years. I’ve also added fresh content to introduce tools that either did not exist in 2012 or had not matured enough to make the first cut. Finally, I ............

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