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Python Data Science Handbook
Essential Tools for Working with Data
Jake VanderPlas
Python Data Science Handbook
by Jake
VanderPlas
Copyright © 2017 Jake VanderPlas. All rights reserved.
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December 2016:
First Edition
Revision History for the First Edition
2016-11-17:
First Release
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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.
978-1-491-91205-8
[LSI]
Preface
What Is Data Science?

This is a book about doing data science with Python, which immediately begs the question: what is data science
? It’s a surprisingly hard definition to nail down, especially given how ubiquitous the term has become. Vocal critics have variously dismissed the term as a superfluous label (after all, what science doesn’t involve data?) or a simple buzzword that only exists to salt résumés and catch the eye of overzealous tech recruiters.
In my mind, these critiques miss something important. Data science, despite its hype-l ............

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