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Codebright's Blog
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Random thoughts on code
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Codebright's Blog
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Codebright's Blog | Random thoughts on code Codebright's Blog Random thoughts on code Skip to content Home About ← Older posts Linear Algebra Review and numpy Posted on October 7, 2011 by codebright I’ve signed up for the Machine Learning course from Stanford. One of the first week’s subject areas is a Linear Algebra Review, and the recommended software is GNU Octave . However, I’d prefer to use numpy and Python. Here’s my notes so far. After installing numpy, you can define a matrix in one of the following ways: from numpy import matrix A = matrix( ( (3,4),(2,16))) # or A = matrix("3 4; 2 16") # or even A = matrix( (3,4,2,16) ) A.resize( (2,2) ) You can produce the transpose of A, written A T with: print("transpose of A = \n%s" % A.transpose() ) producing output: transpose of A = [[ 3 2] [ 4 16]] or if you already have a numpy.array, you can create it from that. We’ll see later why you need to use numpy.matrix and not num...
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