Python libraries for scientific and numerical work

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numpy provides the underlying data structures (array and matrices among other things) you require. This will handle all your vector stuff, reading/writing to and from files, "loop macros", etc.

scipy provides a set of scientific programming libraries, including stats, fft and many other things. Have a look around and see if it already does what you want.

matplotlib takes care of all your plotting needs, and plays nice with numpy and scipy.

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This page contains a single entry by Hugh Brown published on April 25, 2007 2:31 AM.

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