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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

Python is becoming more and more popular in the eyes of Data Scientists. I decided to introduce Statistical Programming in Python among my teachings at the University ( reference page in French ). This first course material described the handling of vectors of NumPy library. The structure and functionality have a certain similarity with the vectors under R. Keywords : langage python, numpy, vector, array, creation, extraction Slides : NumPy Vectors Datasets and programs: Vectors References : NumPy Reference sur SciPy.org Haenel, Gouillart, Varoquaux, " Python Scientific Lecture Notes ". Python - Official Site