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22 lines
921 B
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22 lines
921 B
Plaintext
The Numeric Extensions to Python (NumPy) give Python the number crunching
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power of numeric languages like Matlab and IDL while maintaining all of the
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advantages of the general-purpose programming language Python.
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These extensions add two new object types to Python, and then include a
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number of extensions that take advantage of these two new objects.
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* Multidimensional Array Objects
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+ Efficient arrays of homogeneous machine types
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+ Arbitrary number of dimensions
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+ Sophisticated structural operations
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* Universal Function Objects
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+ Supports mathematical functions on all python objects
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+ Very efficient for Array Objects
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* Simple interfaces to existing numerical libraries:
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+ Linear Algebra (LAPACK)
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+ Fourier Transforms (FFTPACK)
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+ Random Numbers (RANLIB)
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For more information, see the NumPy home page at
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<URL:http://www.sls.lcs.mit.edu/~jjh/numeric>.
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