Learning SciPy for Numerical and Scientific Computing Second Edition

Key FeaturesBook DescriptionThis 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 learnGet to know the benefits of using the combination of Python, NumPy, SciPy, and matplotlib as a programming environment for scientific purposesCreate and manipulate an object array used by SciPyUse SciPy with large matrices to compute eigenvalues and eigenvectorsFocus on construction, acquisition, quality improvement, compression, and feature extraction of signalsMake use of SciPy to collect, organize, analyze, and interpret data, with examples taken from statistics and clusteringAcquire the skill of constructing a triangulation of points, convex hulls, Voronoi diagrams, and many similar applicationsFind out ways that SciPy can be used with other languages such as C/C++, Fortran, and MATLAB/OctaveWho this book is forThis book targets programmers and scientists who have basic Python knowledge and who are keen to perform scientific and numerical computations with SciPy.]]>