With NumPy, SciPy and Matplotlib an interactive Python session becomes a data-processing and system-prototyping environment rivaling sytems such as MATLAB, IDL, Octave, R-Lab, and SciLab.
One strength of the Python scientific ecosystem is its very liberal licensing conditions: Everything is under BSD or MIT license, which means it can be used in commercial products without restriction, even for redistribution or selling.
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