NumPy Cookbook Over 70 interesting recipes for learning the Python open source mathematical library, NumPy Ivan Idris BIRMINGHAM - MUMBAI NumPy Cookbook Copyright © 2012 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: October 2012 Production Reference: 1181012 Published by Packt Publishing Ltd Livery Place 35 Livery Street Birmingham B3 2PB, UK ISBN 978-1-849518-92-5 www.packtpub.com Cover Image by Avishek Roy (roy007avishek88@gmail.com) Credits Author Ivan Idris Reviewers Alexandre Devert Project Coordinator Vishal Bodwani Proofreader Clyde Jenkins Ludovico Fischer Ryan R Rosario Acquisition Editor Usha Iyer Lead Technical Editor Indexer Monica Ajmera Mehta Production Coordinators Arvindkumar Gupta Manu Joseph Ankita Shashi Cover Work Technical Editors Merin Jose Rohit Rajgor Farhaan Shaikh Nitee Shetty Copy Editor Insiya Morbiwala Arvindkumar Gupta Manu Joseph About the Author Ivan Idris has an MSc in Experimental Physics His graduation thesis had a strong emphasis on Applied Computer Science After graduating, he worked for several companies as a Java Developer, Data Warehouse Developer, and QA Analyst His main professional interests are business intelligence, big data, and cloud computing He enjoys writing clean, testable code, and interesting technical articles He is the author of NumPy 1.5 Beginner's Guide You can find more information and a blog with a few NumPy examples at ivanidris.net I would like to dedicate this book to my family and friends I would like to take this opportunity to thank the reviewers and the team at Packt for making this book possible Thanks also goes to my teachers, professors, and colleagues, who taught me about science and programming Last but not least, I would like to acknowledge my parents, family, and friends for their support NumPy 1.5 Beginner's Guide ISBN: 978-1-84951-530-6 Paperback: 234 pages An action-packed guide for the easy-to-use, high performance, Python based free open source NumPy mathematical library using real-world examples The first and only book that truly explores NumPy practically Perform high performance calculations with clean and efficient NumPy code Analyze large data sets with statistical functions Execute complex linear algebra and mathematical computations Matplotlib for Python Developers ISBN: 978-1-84719-790-0 Paperback: 308 pages Build remarkable publication-quality plots the easy way Create high quality 2D plots by using Matplotlib productively Incremental introduction to Matplotlib, from the ground up to advanced levels Embed Matplotlib in GTK+, Qt, and wxWidgets applications as well as web sites to utilize them in Python applications Please check www.PacktPub.com for information on our titles Sage Beginner's Guide ISBN: 978-1-84951-446-0 Paperback: 364 pages Unlock the full potential of Sage for simplifying and automating mathematical computing The best way to learn Sage which is a open source alternative to Magma, Maple, Mathematica, and Matlab Learn to use symbolic and numerical computation to simplify your work and produce publication-quality graphics Numerically solve systems of equations, find roots, and analyze data from experiments or simulations R Graph Cookbook ISBN: 978-1-84951-306-7 Paperback: 272 pages Detailed hands-on recipes for creating the most useful types of graphs in R—starting from the simplest versions to more advanced applications Learn to draw any type of graph or visual data representation in R Filled with practical tips and techniques for creating any type of graph you need; not just theoretical explanations All examples are accompanied with the corresponding graph images, so you know what the results look like Each recipe is independent and contains the complete explanation and code to perform the task as efficiently as possible Please check www.PacktPub.com for information on our titles