Learning SciPy for Numerical and Scientific Computing Second Edition

Key Features

Book Description

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.