Learning SciPy for Numerical and Scientific Computing Second Edition

Quick solutions to complex numerical problems in physics, applied mathematics, and science with SciPy

By: Sergio J Rojas G, Erik Christensen, Francisco Javier Blanco-Silva

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eText | 26 February 2015 | Edition Number 2

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Key Features

Book Description

This book targets programmers and scientists who have basic Python knowledge and who are keen to perform scientific and numerical computations with SciPy.

What you will learn

Get to know the benefits of using the combination of Python, NumPy, SciPy, and matplotlib as a programming environment for scientific purposes
Create and manipulate an object array used by SciPy
Use SciPy with large matrices to compute eigenvalues and eigenvectors
Focus on construction, acquisition, quality improvement, compression, and feature extraction of signals
Make use of SciPy to collect, organize, analyze, and interpret data, with examples taken from statistics and clustering
Acquire the skill of constructing a triangulation of points, convex hulls, Voronoi diagrams, and many similar applications
Find out ways that SciPy can be used with other languages such as C/C++, Fortran, and MATLAB/Octave

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.