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IPython is at the heart of the Python scientific stack. With its widely acclaimed web-based notebook, IPython is today an ideal gateway to data analysis and numerical computing in Python. IPython Interactive Computing and Visualization Cookbook contains many ready-to-use focused recipes for high-performance scientific computing and data analysis. The first part covers programming techniques, including code quality and reproducibility; code optimization; high-performance computing through dynamic compilation, parallel computing, and graphics card programming. The second part tackles data science, statistics, machine learning, signal and image processing, dynamical systems, and pure and applied mathematics.
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IPython Interactive Computing and
Visualization Cookbook
Copyright © 2014 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: September 2014
Production reference: 1190914
Published by Packt Publishing Ltd.
Livery Place
35 Livery Street
Birmingham B3 2PB, UK.
ISBN 978-1-78328-481-8
www.packtpub.com
Cover image by Aniket Sawant (aniket_sawant_photography@hotmail.com)
www.it-ebooks.info
Credits
Author
Cyrille Rossant
Reviewers
Chetan Giridhar
Robert Johansson
Maurice HT Ling
Jose Unpingco
Commissioning Editor
Kartikey Pandey
Acquisition Editor
Greg Wild
Content Development Editor
Sriram Neelakantan
Technical Editors
Madhuri Das
Taabish Khan
Pratik More
Copy Editors
Janbal Dharmaraj
Deepa Nambiar
Karuna Narayanan
Project Coordinator
Judie Jose
Proofreaders
Simran Bhogal
Martin Diver
Maria Gould
Ameesha Green
Paul Hindle
Lucy Rowland
Indexer
Tejal Soni
Graphics
Sheetal Aute
Ronak Dhruv
Disha Haria
Production Coordinators
Melwyn D'sa
Adonia Jones
Manu Joseph
Saiprasad Kadam
Nilesh R. Mohite
Komal Ramchandani
Alwin Roy
Nitesh Thakur
Cover Work
Alwin Roy
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About the Author
Cyrille Rossant is a researcher in neuroinformatics, and is a graduate of Ecole Normale
Supérieure, Paris, where he studied mathematics and computer science. He has worked at
Princeton University, University College London, and Collège de France.
As part of his data science and software engineering projects, he gained experience
in machine learning, high-performance computing, parallel computing, and big data
visualization. He is one of the developers of Vispy, a high-performance visualization
package in Python. He is the author of Learning IPython for Interactive Computing and Data
Visualization, Packt Publishing, a beginner-level introduction to data analysis in Python, and
the prequel of this book.
I would like to thank the IPython development team for their support.
I am also deeply grateful to Nick Fiorentini and his partner Darbie Whitman
for their invaluable help during the later stages of editing.
Finally, I would like to thank my relatives and notably my wife Claire.
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