Data Science from Scratch.pdf

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Data Science from Scratch
SECOND EDITION
First Principles with Python
Joel Grus
Data Science from Scratch
by Joel Grus
Copyright © 2019 Joel Grus. 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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Editor: Michele Cronin
Production Editor: Deborah Baker
Copy Editor: Rachel Monaghan
Proofreader: Rachel Head
Indexer: Judy McConville
Interior Designer: David Futato
Cover Designer: Karen Montgomery
Illustrator: Rebecca Demarest
April 2015: First Edition
May 2019: Second Edition
Revision History for the Second Edition
2019-04-10: First Release
See
http://oreilly.com/catalog/errata.csp?isbn=9781492041139
for release
details.
The O’Reilly logo is a registered trademark of O’Reilly Media, Inc.
Data
Science from Scratch,
Second Edition, the cover image of a rock ptarmigan,
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.
978-1-492-04113-9
[LSI]
Preface to the Second Edition
I am exceptionally proud of the first edition of
Data Science from Scratch.
It turned out very much the book I wanted it to be. But several years of
developments in data science, of progress in the Python ecosystem, and of
personal growth as a developer and educator have
changed
what I think a
first book in data science should look like.
In life, there are no do-overs. In writing, however, there are second editions.
Accordingly, I’ve rewritten all the code and examples using Python 3.6 (and
many of its newly introduced features, like type annotations). I’ve woven
into the book an emphasis on writing clean code. I’ve replaced some of the
first edition’s toy examples with more realistic ones using “real” datasets.
I’ve added new material on topics such as deep learning, statistics, and
natural language processing, corresponding to things that today’s data
scientists are likely to be working with. (I’ve also removed some material
that seems less relevant.) And I’ve gone over the book with a fine-toothed
comb, fixing bugs, rewriting explanations that are less clear than they could
be, and freshening up some of the jokes.
The first edition was a great book, and this edition is even better. Enjoy!
Joel Grus
Seattle, WA
2019
Conventions Used in This Book
The following typographical conventions are used in this book:
Italic

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