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Python High Performance Programming 无水印pdf
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Python High Performance
Programming
Boost the performance of your Python programs
using advanced techniques
Gabriele Lanaro
BIRMINGHAM - MUMBAI
Python High Performance Programming
Copyright © 2013 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: December 2013
Production Reference: 1171213
Published by Packt Publishing Ltd.
Livery Place
35 Livery Street
Birmingham B3 2PB, UK.
ISBN 978-1-78328-845-8
www.packtpub.com
Cover Image by Gagandeep Sharma (er.gagansharma@gmail.com)
Credits
Author
Gabriele Lanaro
Reviewers
Daniel Arbuckle
Mike Driscoll
Albert Lukaszewski
Acquisition Editors
Owen Roberts
Harsha Bharwani
Commissioning Editor
Shaon Basu
Technical Editors
Akashdeep Kundu
Faisal Siddiqui
Project Coordinator
Sherin Padayatty
Proofreader
Linda Morris
Indexer
Rekha Nair
Production Coordinators
Pooja Chiplunkar
Manu Joseph
Cover Work
Pooja Chiplunkar
About the Author
Gabriele Lanaro is a PhD student in Chemistry at the University of British
Columbia, in the eld of Molecular Simulation. He writes high performance
Python code to analyze chemical systems in large-scale simulations. He is the
creator of Chemlab—a high performance visualization software in Python—and
emacs-for-python—a collection of emacs extensions that facilitate working with
Python code in the emacs text editor. This book builds on his experience in
writing scientic Python code for his research and personal projects.
I want to thank my parents for their huge, unconditional love and
support. My gratitude cannot be expressed by words but I hope
that I made them proud of me with this project.
I would also thank the Python community for producing and
maintaining a massive quantity of high-quality resources made
available for free. Their extraordinary supportive and compassionate
attitude really fed my passion for this amazing technology.
A special thanks goes to Hessam Mehr for reviewing my drafts,
testing the code and providing extremely valuable feedback. I would
also like to thank my roommate Kaveh for being such an awesome
friend and Na for bringing me chocolate bars during rough times.
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- lcxjg2018-03-04本书不错,可以提高python代码质量
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