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Mastering matplotlib 无水印pdf
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Mastering matplotlib
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: June 2015
Production reference: 1250615
Published by Packt Publishing Ltd.
Livery Place
35 Livery Street
Birmingham B3 2PB, UK.
ISBN 978-1-78398-754-2
www.packtpub.com
Credits
Author
Duncan M. McGreggor
Reviewers
Francesco Benincasa
Wen-Wei Liao
Nicolas P. Rougier
Dr. Allen Chi-Shing Yu
Acquisition Editor
Meeta Rajani
Content Development Editor
Sumeet Sawant
Technical Editor
Gaurav Suri
Copy Editors
Ulka Manjrekar
Vedangi Narvekar
Project Coordinator
Shweta H. Birwatkar
Proofreader
Sas Editing
Indexer
Hemangini Bari
Graphics
Sheetal Aute
Production Coordinator
Komal Ramchandani
Cover Work
Komal Ramchandani
About the Author
Duncan M. McGreggor, having programmed with GOTOs in the 1980s, has made
up for that through community service by making open source contributions for more
than 20 years. He has spent a major part of the past 10 years dealing with distributed
and scientic computing (in languages ranging from Python, Common Lisp, and Julia
to Clojure and Lisp Flavored Erlang). In the 1990s, after serving as a linguist in the
US Army, he spent considerable time working on projects related to MATLAB and
Mathematica, which was a part of his physics and maths studies at the university.
Since the mid 2000s, matplotlib and NumPy have gured prominently in many of
the interesting problems that he has solved for his customers. With the most recent
addition of the IPython Notebook, matplotlib and the suite of the Python scientic
computing libraries remain some of his most important professional tools.
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