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<table xmlns:rev="http://www.cs.rpi.edu/~gregod/boost/tools/doc/revision" width="100%"><tr>
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<td align="left"><p><small>Last revised: October 10, 2016 at 17:21:16 GMT</small></p></td>
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<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!
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=================================================================
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Contents:
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.. toctree::
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:caption: Table of Contents
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:maxdepth: 2
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Tutorial <tutorial/index>
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binary_ufunc
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============
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.. contents ::
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.. contents :: Table of Contents
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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
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=====
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.. contents ::
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.. contents :: Table of Contents
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A `dtype`_ is an object describing the type of the elements of an ndarray
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Boost.Python NumPy extension Reference
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======================================
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Contents:
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.. toctree::
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dtype
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multi_iter
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==========
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.. contents ::
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.. contents :: Table of Contents
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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
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=======
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.. contents ::
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.. contents :: Table of Contents
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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
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===========
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.. contents ::
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.. contents :: Table of Contents
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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
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=====================================
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Contents:
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.. toctree::
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:caption: Table of Contents
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:maxdepth: 2
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simple
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<div class="section" id="welcome-to-the-documentation-of-the-boost-python-numpy-extension">
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<h1>Welcome to the documentation of the Boost.Python NumPy extension!</h1>
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