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About NumPy
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===========
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- ` NumPy < http://www.scipy.org/NumpPy/ >`__ is the fundamental package
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+ NumPy is the fundamental package
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needed for scientific computing with Python. This package contains:
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- a powerful N-dimensional :ref: `array object <arrays >`
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More information about the development of NumPy can be found at our `Developer Zone <https://scipy.scipy.org/scipylib/dev-zone.html >`__.
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+ The project management structure can be found at our :doc: `governance page <dev/governance/index >`
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About this documentation
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========================
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Before reading this, it may help to familiarize yourself with the basics
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of C extensions for Python by reading/skimming the tutorials in Section 1
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of `Extending and Embedding the Python Interpreter
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- <http://docs.python.org/extending/index.html> `_ and in `How to extend
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- NumPy <http://docs.scipy.org/doc/numpy/user/ c-info.how-to-extend.html> `_
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+ <http://docs.python.org/extending/index.html> `_ and in :doc: `How to extend
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+ NumPy <c-info.how-to-extend>`
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The umath module is a computer-generated C-module that creates many
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ufuncs. It provides a great many examples of how to create a universal
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