This course material presents the manipulation of matrices using NumPy. The array type is common to vectors and matrices. The special feature is the addition of a second dimension in order to have values within a rows x columns structure.
The matrices pave the way to operators which play a fundamental role in statistical modeling and exploratory data analysis (e.g. matrix inversion, solving equations, calculation of eigenvalues and eigenvectors, singular value decomposition, etc.).
Keywords: langage python, numpy, vector, matrix, array, creation, extraction
Slides: NumPy Matrices
Datasets and programs: Matrices
References :
NumPy Reference sur SciPy.org
Haenel, Gouillart, Varoquaux, "Python Scientific Lecture Notes".
Python - Official Site
