eBook - ePub
Learning SciPy for Numerical and Scientific Computing - Second Edition
- 188 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
eBook - ePub
Learning SciPy for Numerical and Scientific Computing - Second Edition
About this book
About This Book
- Use different modules and routines from the SciPy library quickly and efficiently
- Create vectors and matrices and learn how to perform standard mathematical operations between them or on the respective array in a functional form
- A step-by-step tutorial that will help users solve research-based problems from various areas of science using Scipy
Who This Book Is For
This book targets programmers and scientists who have basic Python knowledge and who are keen to perform scientific and numerical computations with SciPy.
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Information
Learning SciPy for Numerical and Scientific Computing Second Edition
Table of Contents
Learning SciPy for Numerical and Scientific Computing Second Edition
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Support files, eBooks, discount offers, and more
Why subscribe?
Free access for Packt account holders
Preface
What this book covers
What you need for this book
Who this book is for
Conventions
Reader feedback
Customer support
Downloading the example code
Downloading the color images of this book
Errata
Piracy
Questions
1. Introduction to SciPy
What is SciPy?
Installing SciPy
Installing SciPy on Mac OS X
Installing SciPy on Unix/Linux
Installing SciPy on Windows
Testing the SciPy installation
SciPy organization
How to find documentation
Scientific visualization
How to open IPython Notebooks
Summary
2. Working with the NumPy Array As a First Step to SciPy
Object essentials
Using datatypes
Indexing and slicing arrays
The array object
Array conversions
Shape selection/manipulations
Object calculations
Array routines
Routines to create arrays
Routines for the combination of two or more arrays
Routines for array manipulation
Routines to extract information from arrays
Summary
3. SciPy for Linear Algebra
Vector creation
Vector operations
Addition/subtraction
Scalar/Dot product
Cross/Vector product – on three-dimensional space vectors
Creating a matrix
Matrix methods
Operations between matrices
Functions on matrices
Eigenvalue problems and matrix decompositions
Image compression via the singular value decomposition
Solvers
Summary
4. SciPy for Numerical Analysis
The evaluation of special functions
Convenience and test functions
Univariate polynomials
The gamma function
The Riemann zeta function
Airy and Bairy functions
The Bessel and Struve functions
Other special functions
Interpolation
Regression
Optimization
Minimization
Roots
Integration
Exponential/logarithm integrals
Trigonometric and hyperbolic trigonometric integrals
Elliptic integrals
Gamma and beta integrals
Numerical integration
Ordinary differential equations
Lorenz attractors
Summary
5. SciPy for Signal Processing
Discrete Fourier Transforms
Signal construction
Filters
The LTI system theory
Filter design
Window functions
Image interpolation
Morphology
Summary
6. SciPy for Data Mining
Descriptive statistics
Distributions
Interval estimation, correlation measures, and statistical tests
Distribution fitting
Distances
Clustering
Vector quantization and k-means
Hierarchical clustering
Clustering mammals by their dentition
Summary
7. SciPy for Computational Geometry
The structural model of oxides
A finite element solver for Laplace's equation
Summary
8. Interaction with Other Languages
Interaction with Fortran
Interaction with C/C++
Interaction with MATLAB/Octave
Summary
Index
Learning SciPy for Numerical and Scientific Computing Second Edition
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 authors, 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: February 2013
Second edition: February 2015
Production reference: 1200215
Published by Packt Publishing Ltd.
Livery Place
35 Livery Street
Birmingham B3 2PB, UK.
ISBN 978-1-78398-770-2
www.packtpub.com
Credits
Authors
Sergio J. Rojas G.
Erik A Christensen
Francisco J. Blanco-Silva
Reviewers
Dr. Robert Clewley
Nicolas Fauchereau
Valentin Haenel
Andy Ray Terrel
Commissioning Editor
Kartikey Pandey
Acquisition Editors
Kartikey Pandey
Meeta Rajani
Content Development Editor
Shweta Pant
Technical Editor
Rahul C. Shah
Copy Editors
Roshni Banerjee
Puja Lalwani
Merilyn Pereira
Project Coordinator
Shipra Chawhan
Proofreaders
Paul Hindle
Clyde Jenkins
Indexers
Monica Ajmera Mehta
Priya Sane
Graphics
Sheetal Aute
Valentina D'silva
Abhinash Sahu
Production Coordinator
Nitesh Thakur
Cover Work
Nitesh Thakur
About the Authors
Sergio J. Rojas G. is currently a full professor of physics at Universidad Simón Bolívar, V...
Table of contents
- Learning SciPy for Numerical and Scientific Computing Second Edition
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Yes, you can access Learning SciPy for Numerical and Scientific Computing - Second Edition by Sergio J. Rojas G., Erik A Christensen, Francisco J. Blanco-Silva in PDF and/or ePUB format, as well as other popular books in Computer Science & Computer Science General. We have over one million books available in our catalogue for you to explore.