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Pattern Recognition Software CS855 Week 1
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Matlab Commercial Very fast matrix operations Many open source functions Portability limited Free Interpreted language, can be slow. C function calls are fast Many 3 rd party libs Portable Python
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Matlab setup On the Pace network (on campus or VPN) – smb://vsapps.seidenberg.csis/MATLAB – Follow either the 32bit or 64bit link
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Python setup Download and install Anaconda – http://continuum.io/downloads http://continuum.io/downloads – Includes all the major Python scientific libraries Pick an editor/IDE – Emacs, Aptana Studio (Eclipse + PyDev), PyCharm Start an Ipython Notebook $ ipython notebook
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Workflow Matlab Interactive command prompt Python Editor + REPL IPython notebook
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Matrix operations Matlab a = [[1,2]] b = [[1];[2]] a.*b % element-wise a*b % matrix Python a = np.array([[1, 2]]) b = np.array([[3],[4]]) a * b # element-wise a.dot(a) # matrix
![Matrix operations Matlab a = [[1,2]] b = [[1];[2]] a.*b % element-wise a*b % matrix Python a = np.array([[1, 2]]) b = np.array([[3],[4]]) a * b # element-wise a.dot(a) # matrix](http://images.slideplayer.com./25/7944830/slides/slide_6.jpg "Matrix operations Matlab a = [[1,2]] b = [[1];[2]] a.*b % element-wise a*b % matrix Python a = np.array([[1, 2]]) b = np.array([[3],[4]]) a * b # element-wise a.dot(a) # matrix")
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Binomial distribution Matlab prob.BinomialDistribution Python np.random.binomial
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