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Numpy

NumPy
NumPy logo
Original author(s) Travis Oliphant
Developer(s) Community project
Initial release As Numeric, 1995 (1995); as NumPy, 2006 (2006)
Stable release
1.12.0 / 15 January 2017; 2 months ago (2017-01-15)
Repository https://github.com/numpy/numpy, https://github.com/numpy/numpy.git
Written in Python, C
Operating system Cross-platform
Type Technical computing
License BSD-new license
Website www.numpy.org

NumPy (pronounced /ˈnʌmp/ (NUM-py) or sometimes /ˈnʌmpi/ (NUM-pee)) is an extension to the Python programming language, adding support for large, multi-dimensional arrays and matrices, along with a large library of high-level mathematical functions to operate on these arrays. The ancestor of NumPy, Numeric, was originally created by Jim Hugunin with contributions from several other developers. In 2005, Travis Oliphant created NumPy by incorporating features of the competing Numarray into Numeric, with extensive modifications. NumPy is open-source software and has many contributors.

NumPy targets the CPython reference implementation of Python, which is a non-optimizing bytecode interpreter. Mathematical algorithms written for this version of Python often run much slower than compiled equivalents. NumPy address the slowness problem partly by providing multidimensional arrays and functions and operators that operate efficiently on arrays, requiring (re)writing some code, mostly inner loops using NumPy.


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