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[SVN r16408]
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@@ -34,10 +34,32 @@
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using Boost.Python as your Python/C++ binding solution, we'd be proud to
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list your project on this page. Just <a href=
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"mailto:c++-sig@python.org">post</a> a short description of your project
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and how Boost.Python helps you get the job done, and we'll add it to
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.</p>
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and how Boost.Python helps you get the job done, and we'll add it to this
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page .</p>
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<hr>
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<h3>Enterprise Software</h3>
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<dl class="page-index">
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<dt><b><a href="http://openwbem.sourceforge.net">OpenWBEM</a></b></dt>
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<dd>
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The OpenWBEM project is an effort to develop an open-source
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implementation of Web Based Enterprise Management suitable for
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commercial and non-commercial application
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<p><a href="mailto:dnuffer@sco.com">Dan Nuffer</a> writes:</p>
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<blockquote>
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I'm using Boost.Python to wrap the client API of OpenWBEM.This will
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make it easier to do rapid prototyping, testing, and scripting when
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developing management solutions that use WBEM.
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</blockquote>
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</dd>
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</dl>
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<h3>Financial Analysis</h3>
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<dl class="page-index">
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<dt><b>TSLib</b> - <a href="http://www.fortressinv.com">Fortress
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Investment Group LLC</a></dt>
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@@ -51,8 +73,8 @@
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<p>Tom Barket of Fortress writes:</p>
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<blockquote>
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<i>We have a large C++ analytical library specialized for research
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in finance and economics, built for speed and mission critical
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We have a large C++ analytical library specialized for research in
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finance and economics, built for speed and mission critical
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stability. Yet Python offers us the flexibility to test out new
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ideas quickly and increase the productivity of our time versus
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working in C++. There are several key features which make Python
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@@ -60,16 +82,14 @@
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web are all valuable, but the most important is its extensibility,
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due to its open source transparency. Boost.Python makes Python
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extensibility extremely simple and straightforward, yet preserves a
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great deal of power and control.</i>
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great deal of power and control.
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</blockquote>
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</dd>
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</dl>
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<dt><a href="http://www.llnl.gov/CASC/emsolve"><b>EMSolve</b></a></dt>
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<dd>EMSolve is a provably stable, charge conserving, and energy
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conserving solver for Maxwell's equations.<br>
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</dd>
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<h3>Graphics</h3>
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<dl class="page-index">
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<dt><b><a href=
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"http://www.openscenegraph.org">OpenSceneGraph</a></b></dt>
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@@ -89,36 +109,6 @@
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to Python.<br>
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</dd>
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<dt><b><a href="http://openwbem.sourceforge.net">OpenWBEM</a></b></dt>
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<dd>
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The OpenWBEM project is an effort to develop an open-source
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implementation of Web Based Enterprise Management suitable for
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commercial and non-commercial application
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<p><a href="mailto:dnuffer@sco.com">Dan Nuffer</a> writes:</p>
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<blockquote>
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<i>I'm using Boost.Python to wrap the client API of OpenWBEM.This
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will make it easier to do rapid prototyping, testing, and scripting
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when developing management solutions that use WBEM.</i>
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</blockquote>
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</dd>
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<dt><a href="http://camfr.sourceforge.net"><b>CAMFR</b></a></dt>
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<dd>
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CAMFR is a photonics and electromagnetics modelling tool. Python is
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used for computational steering.
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<p><a href="mailto:Peter.Bienstman@rug.ac.be">Peter Bienstman</a>
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writes:</p>
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<blockquote>
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<i>Thanks for providing such a great tool!</i>
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</blockquote>
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</dd>
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<dt><b>HippoDraw</b> - <a href="http://www.slac.stanford.edu">Stanford
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Linear Accelerator Center</a></dt>
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@@ -134,36 +124,88 @@
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writes:</p>
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<blockquote>
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<i>Don't have a web page for the project, but the organization's is
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<a href=
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Don't have a web page for the project, but the organization's is <a
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href=
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"http://www.slac.stanford.edu">http://www.slac.stanford.edu</a>
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(the first web server site in America, I installed it).</i>
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(the first web server site in America, I installed it).
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</blockquote>
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Which was just too cool a piece of trivia to omit.<br>
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</dd>
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</dd>
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</dl>
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<h3>Scientific Computing</h3>
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<dl class="page index">
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<dt><a href="http://camfr.sourceforge.net"><b>CAMFR</b></a></dt>
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<dt><a href="http://cctbx.sourceforge.net"
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><b>cctbx - Computational Crystallography Toolbox</b></a></dt>
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<dd>
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Computational Crystallography is concerned with the derivation
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of atomic models of crystal structures, given experimental
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X-ray diffraction data. The cctbx is an open-source library of
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fundamental algorithms for crystallographic computations. The
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core algorithms are implemented in C++ and accessed through
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higher-level Python interfaces. The cctbx grew together
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with Boost.Python and is designed from the ground up as
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a hybrid Python/C++ system. With one minor exception,
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CAMFR is a photonics and electromagnetics modelling tool. Python is
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used for computational steering.
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<p><a href="mailto:Peter.Bienstman@rug.ac.be">Peter Bienstman</a>
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writes:</p>
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<blockquote>
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Thanks for providing such a great tool!
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</blockquote>
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</dd>
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<dt><a href="http://cctbx.sourceforge.net"><b>cctbx - Computational
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Crystallography Toolbox</b></a></dt>
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<dd>
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Computational Crystallography is concerned with the derivation of
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atomic models of crystal structures, given experimental X-ray
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diffraction data. The cctbx is an open-source library of fundamental
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algorithms for crystallographic computations. The core algorithms are
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implemented in C++ and accessed through higher-level Python
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interfaces.
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<p>The cctbx grew together with Boost.Python and is designed from the
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ground up as a hybrid Python/C++ system. With one minor exception,
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run-time polymorphism is completely handled by Python. C++
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compile-time polymorphism is used to implement performance
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critical algorithms. The Python and C++ layers are seamlessly
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integrated using Boost.Python.
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<p>
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The SourceForge cctbx project is organized in modules to
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facilitate use in non-crystallographic applications.
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The scitbx module implements a general purpose
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array family for scientific applications and pure C++
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ports of FFTPACK and the LBFGS conjugate gradient
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minimizer.
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compile-time polymorphism is used to implement performance critical
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algorithms. The Python and C++ layers are seamlessly integrated using
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Boost.Python.</p>
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<p>The SourceForge cctbx project is organized in modules to
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facilitate use in non-crystallographic applications. The scitbx
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module implements a general purpose array family for scientific
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applications and pure C++ ports of FFTPACK and the LBFGS conjugate
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gradient minimizer.</p>
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</dd>
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<dt><a href="http://www.llnl.gov/CASC/emsolve"><b>EMSolve</b></a></dt>
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<dd>EMSolve is a provably stable, charge conserving, and energy
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conserving solver for Maxwell's equations.<br>
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</dd>
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<dt><b><a href="http://cern.ch/gaudi">Gaudi</a></b> and <b><a href=
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"http://cern.ch/Gaudi/RootPython/">RootPython</a></b></dt>
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<dd>
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Gaudi is a framework for particle physics collision data processing
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applications developed in the context of the LHCb and ATLAS
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experiments at CERN.
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<p><a href="mailto:Pere.Mato@cern.ch">Pere Mato Vila</a> writes:</p>
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<blockquote>
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We are using Boost.Python to provide scripting/interactive
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capability to our framework. We have a module called "GaudiPython"
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implemented using Boost.Python that allows the interaction with any
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framework service or algorithm from python. RootPython also uses
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Boost.Python to provide a generic "gateway" between the <a href=
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"http://root.cern.ch">ROOT</a> framework and python
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<p>Boost.Python is great. We managed very quickly to interface our
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framework to python, which is great language. We are trying to
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facilitate to our physicists (end-users) a rapid analysis
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application development environment based on python. For that,
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Boost.Python plays and essential role.</p>
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</blockquote>
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</dd>
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</dl>
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<hr>
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