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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
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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 ()


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
1. The first and only book that truly explores NumPy
practically
2. Perform high performance calculations with clean
and efficient NumPy code
3. Analyze large data sets with statistical functions
4. 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
1. Create high quality 2D plots by using Matplotlib
productively
2. Incremental introduction to Matplotlib, from the
ground up to advanced levels
3. 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
1. The best way to learn Sage which is a
open source alternative to Magma, Maple,
Mathematica, and Matlab
2. Learn to use symbolic and numerical
computation to simplify your work and
produce publication-quality graphics
3. 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
1. Learn to draw any type of graph or visual data

representation in R
2. Filled with practical tips and techniques for
creating any type of graph you need; not just
theoretical explanations
3. All examples are accompanied with the
corresponding graph images, so you know what
the results look like
4. 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