Book Image

NumPy Essentials

By : Leo (Liang-Huan) Chin, Tanmay Dutta, Shane Holloway
Book Image

NumPy Essentials

By: Leo (Liang-Huan) Chin, Tanmay Dutta, Shane Holloway

Overview of this book

In today’s world of science and technology, it’s all about speed and flexibility. When it comes to scientific computing, NumPy tops the list. NumPy gives you both the speed and high productivity you need. This book will walk you through NumPy using clear, step-by-step examples and just the right amount of theory. We will guide you through wider applications of NumPy in scientific computing and will then focus on the fundamentals of NumPy, including array objects, functions, and matrices, each of them explained with practical examples. You will then learn about different NumPy modules while performing mathematical operations such as calculating the Fourier Transform; solving linear systems of equations, interpolation, extrapolation, regression, and curve fitting; and evaluating integrals and derivatives. We will also introduce you to using Cython with NumPy arrays and writing extension modules for NumPy code using the C API. This book will give you exposure to the vast NumPy library and help you build efficient, high-speed programs using a wide range of mathematical features.

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NumPy Essentials
Leo (Liang-Huan) Chin | Tanmay Dutta | Shane Holloway
Apr, 2016 | 156 pages
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Table of Contents (16 chapters)
NumPy Essentials
NumPy Essentials
Credits
Credits
About the Authors
About the Authors
About the Reviewers
About the Reviewers
www.PacktPub.com
www.PacktPub.com
Preface
Preface
Free Chapter
1
An Introduction to NumPy
An Introduction to NumPy
The scientific Python stack
The need for NumPy arrays
NumPy in Academia and Industry
Code conventions used in the book
Installation requirements
Summary
2
The NumPy ndarray Object
The NumPy ndarray Object
Getting started with numpy.ndarray
Array indexing and slicing
Memory layout of ndarray
Views and copies
Creating arrays
Array data types
Summary
3
Using NumPy Arrays
Using NumPy Arrays
Vectorized operations
Universal functions (ufuncs)
Broadcasting and shape manipulation
A boolean mask
Helper functions
Summary
4
NumPy Core and Libs Submodules
NumPy Core and Libs Submodules
Introducing strides
Structured arrays
Summary
5
Linear Algebra in NumPy
Linear Algebra in NumPy
The matrix class
Linear algebra in NumPy
Decomposition
Polynomial mathematics
Application - regression and curve fitting
Summary
6
Fourier Analysis in NumPy
Fourier Analysis in NumPy
Before we start
Signal processing
Fourier analysis
Fourier transform application
Summary
7
Building and Distributing NumPy Code
Building and Distributing NumPy Code
Introducing Distutils and setuptools
Preparing the tools
Building the first working distribution
Testing your package
Distributing your application
Summary
8
Speeding Up NumPy with Cython
Speeding Up NumPy with Cython
The first step toward optimizing code
Setting up Cython
Hello world in Cython
Multithreaded code
NumPy and Cython
Summary
9
Introduction to the NumPy C-API
Introduction to the NumPy C-API
The Python and NumPy C-API
The basic structure of an extension module
Creating an array squared function using Python C-API
Creating an array squared function using NumPy C-API
Building and installing the extension module
Summary
10
Further Reading
Further Reading
pandas
scikit-learn
netCDF4
SciPy
Summary

NumPy Essentials

Copyright © 2016 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.

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First published: April 2016

Production reference: 1220416

Published by Packt Publishing Ltd.

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Birmingham 

B3 2PB, UK.

ISBN 978-1-78439-367-0

www.packtpub.com
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