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Learning pandas
Get to grips with pandas—a versatile
and high-performance Python library for
data manipulation, analysis, and discovery
Michael Heydt
BIRMINGHAM - MUMBAI
Learning pandas
Copyright © 2015 Packt Publishing
All rights reserved. No part of this book may be reproduced, stored in a retrieval
system, or transmitted in any form or by any means, without the prior written
permission of the publisher, except in the case of brief quotations embedded in
critical articles or reviews.
Every effort has been made in the preparation of this book to ensure the accuracy
of the information presented. However, the information contained in this book is
sold without warranty, either express or implied. Neither the author, nor Packt
Publishing, and its dealers and distributors will be held liable for any damages
caused or alleged to be caused directly or indirectly by this book.
Packt Publishing has endeavored to provide trademark information about all of the
companies and products mentioned in this book by the appropriate use of capitals.
However, Packt Publishing cannot guarantee the accuracy of this information.
First published: April 2015
Production reference: 1090415
Published by Packt Publishing Ltd.
Livery Place
35 Livery Street
Birmingham B3 2PB, UK.
ISBN 978-1-78398-512-8
www.packtpub.com
Credits
Author
Michael Heydt
Reviewers
Bill Chambers
S. Shelly Jang
Arun Karunagath Rajeevan
Daniel Velkov
Adrian Wan
Indexer
Commissioning Editor
Kartikey Pandey
Graphics
Acquisition Editor
Neha Nagwekar
Production Coordinator
Content Development Editor
Akshay Nair
Cover Work
Technical Editors
Shashank Desai
Chinmay Puranik
Copy Editors
Roshni Banerjee
Pranjali Chury
Stuti Srivastava
Arvindkumar Gupta
Arvindkumar Gupta
Sheetal Aute
Monica Ajmera Mehta
Project Coordinator
Mary Alex
Proofreaders
Simran Bhogal
Paul Hindle
Linda Morris
Christopher Smith
About the Author
30 years of professional software development experience, during which he focused
on agile software design and implementation using advanced technologies in
multiple verticals, including media, finance, energy, and healthcare. He holds an MS
degree in mathematics and computer science from Drexel University and an executive
master's of technology management degree from the University of Pennsylvania's
School of Engineering and Wharton Business School. His studies and research
have focused on technology management, software engineering, entrepreneurship,
information retrieval, data sciences, and computational finance. Since 2005, he
has been specializing in building energy and financial trading systems for major
investment banks on Wall Street and for several global energy trading companies,
utilizing .NET, C#, WPF, TPL, DataFlow, Python, R, Mono, iOS, and Android. His
current interests include creating seamless applications using desktop, mobile, and
wearable technologies, which utilize high concurrency, high availability, real-time
data analytics, augmented and virtual reality, cloud services, messaging, computer
vision, natural user interfaces, and software-defined networks. He is the author of
numerous technology articles, papers, and books (
Instant Lucene.NET
,
Learning
pandas
). He is a frequent speaker at .NET users' groups and various mobile and cloud
conferences, and he regularly delivers webinars on advanced technologies.
Michael Heydt
is an independent consultant, educator, and trainer with nearly

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