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</p>
</div>
<table xmlns:rev="http://www.cs.rpi.edu/~gregod/boost/tools/doc/revision" width="100%"><tr>
<td align="left"><p><small>Last revised: October 10, 2016 at 17:21:16 GMT</small></p></td>
<td align="left"><p><small>Last revised: October 10, 2016 at 22:35:07 GMT</small></p></td>
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Welcome to the documentation of the Boost.Python NumPy extension!
=================================================================
Contents:
.. toctree::
:caption: Table of Contents
:maxdepth: 2
Tutorial <tutorial/index>

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binary_ufunc
============
.. contents ::
.. contents :: Table of Contents
A ``binary_ufunc`` is a struct used as an intermediate step to broadcast two arguments so that a C++ function can be converted to a ufunc like function

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dtype
=====
.. contents ::
.. contents :: Table of Contents
A `dtype`_ is an object describing the type of the elements of an ndarray

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Boost.Python NumPy extension Reference
======================================
Contents:
.. toctree::
:caption: Table of Contents
:maxdepth: 2
dtype

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multi_iter
==========
.. contents ::
.. contents :: Table of Contents
A ``multi_iter`` is a Python object, intended to be used as an iterator It should generally only be used in loops.

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ndarray
=======
.. contents ::
.. contents :: Table of Contents
A `ndarray`_ is an N-dimensional array which contains items of the same type and size, where N is the number of dimensions and is specified in the form of a ``shape`` tuple. Optionally, the numpy ``dtype`` for the objects contained may also be specified.

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unary_ufunc
===========
.. contents ::
.. contents :: Table of Contents
A ``unary_ufunc`` is a struct used as an intermediate step to broadcast a single argument so that a C++ function can be converted to a ufunc like function

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Boost.Python NumPy extension Tutorial
=====================================
Contents:
.. toctree::
:caption: Table of Contents
:maxdepth: 2
simple

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<h1>Boost.Python NumPy extension Tutorial</h1>
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<td align="left"><p><small>Last revised: October 10, 2016 at 17:21:23 GMT</small></p></td>
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<td align="left"><p><small>Last revised: October 10, 2016 at 17:21:34 GMT</small></p></td>
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