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Python Data Visualization Cookbook 2nd 2015第2版 0分
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Paperback: 302 pages Publisher: Packt Publishing - ebooks Account; 2nd Revised edition edition (November 30, 2015) Language: English ISBN-10: 1784396699 ISBN-13: 978-1784396695 Over 70 recipes to get you started with popular Python libraries based on the principal concepts of data visualization About This Book Learn how to set up an optimal Python environment for data visualization Understand how to import, clean and organize your data Determine different approaches to data visualization and how to choose the most appropriate for your needs
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Python Data Visualization
Cookbook
Second Edition
Over 70 recipes, based on the principal concepts
of data visualization, to get you started with popular
Python libraries
Igor Milovanović
Dimitry Foures
Giuseppe Vettigli
BIRMINGHAM - MUMBAI
Python Data Visualization Cookbook
Second Edition
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 authors, 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: November 2013
Second edition: November 2015
Production reference: 1261115
Published by Packt Publishing Ltd.
Livery Place
35 Livery Street
Birmingham B3 2PB, UK.
ISBN 978-1-78439-669-5
www.packtpub.com
Credits
Authors
Igor Milovanović
Dimitry Foures
Giuseppe Vettigli
Reviewer
Kostiantyn Kucher
Commissioning Editor
Akram Hussain
Acquisition Editor
Meeta Rajani
Content Development Editor
Mayur Pawanikar
Technical Editor
Anushree Arun Tendulkar
Copy Editor
Charlotte Carneiro
Project Coordinator
Nidhi Joshi
Proofreader
Sas Editing
Indexer
Rekha Nair
Graphics
Jason Monteiro
Production Coordinator
Manu Joseph
Cover Work
Manu Joseph
About the Authors
Igor Milovanović is an experienced developer, with strong background in Linux system
knowledge and software engineering education, he is skilled in building scalable data-driven
distributed software rich systems.
Evangelist for high-quality systems design who holds strong interests in software architecture
and development methodologies, Igor is always persistent on advocating methodologies
which promote high-quality software, such as test-driven development, one-step builds and
continuous integration.
He also possesses solid knowledge of product development. Having eld experience and
ofcial training, he is capable of transferring knowledge and communication ow from
business to developers and vice versa.
Igor is most grateful to his girlfriend for letting him spent hours on the work instead with
her and being avid listener to his endless book monologues. He thanks his brother for
being the strongest supporter. He is thankful to his parents to let him develop in various
ways and become a person he is today.
Dimitry Foures is a data scientist with a background in applied mathematics and
theoretical physics. After completing his undergraduate studies in physics at ENS Lyon
(France), he studied uid mechanics at École Polytechnique in Paris where he obtained
a rst class master's. He holds a PhD in applied mathematics from the University of
Cambridge. He currently works as a data scientist for a smart-energy startup in
Cambridge, in close collaboration with the university.
Giuseppe Vettigli is a data scientist who has worked in the research industry and
academia for many years. His work is focused on the development of machine learning
models and applications to use information from structured and unstructured data.
He also writes about scientic computing and data visualization in Python on his blog
at http://glowingpython.blogspot.com.
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