NumPy is a package that defines a multi-dimensional array object and associated fast math functions that operate on it. It also provides simple routines for linear algebra and fft and sophisticated random-number generation. NumPy replaces both Numeric and Numarray. and

A very complete manual by the principal author of Numpy, Travis Oliphant, is available for free (although donations are accepted). Note that the online documentation via docstring is rather complete and not stripped in any way. Further documentation is available from

Many examples of numpy usage can be found at

from numpy import *

from PIL import Image

ar = ones((100,100),float32)

ar = ar * 100

for i in range(0,100):
    ar[i,:] = 100 + (i * 1.5)

im = Image.fromarray(ar,"F")

NumPy (last edited 2014-05-14 21:57:45 by DaleAthanasias)

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