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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. http://www.scipy.org and http://www.numpy.org/ A very complete manual by the principal author of Numpy, Travis Oliphant, is [[http://csc.ucdavis.edu/~chaos/courses/nlp/Software/NumPyBook.pdf|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 http://docs.scipy.org/doc/ Many examples of numpy usage can be found at http://wiki.scipy.org/Numpy_Example_List '''numpy Example''' {{{ 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") }}} |
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I am Corrine from Frederiksberg C. I am learning to play the Saxhorn. Other hobbies are Taxidermy.
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