> Matlab also takes a copy if we create an array slice. It means for example > that a wavelet transform written in Python will be O(n) with respect to > memory, whereas it will be O(n log n) in Matlab.
Other examples: A reshape will create a new array in Matlab. It will create a view in NumPy. A transpose will create a new array in Matlab and be O(m*n). A transpose will just create a view in NumPy (i.e. reverse stride and shape attributes) and be O(1). Matlab does not broadcast. We must explicitely match array shapes using repmat, which by the way creates a new array. NumPy allows arrays to be updated inplace. Matlab always creates a new copy (Matlab arrays are immutable). _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
