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authorChanho Park <chanho61.park@samsung.com>2014-12-11 18:55:56 +0900
committerChanho Park <chanho61.park@samsung.com>2014-12-11 18:55:56 +0900
commit08c1e93fa36a49f49325a07fe91ff92c964c2b6c (patch)
tree7a7053ceb8874b28ec4b868d4c49b500008a102e /libs/python/doc
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downloadboost-08c1e93fa36a49f49325a07fe91ff92c964c2b6c.tar.gz
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@@ -396,27 +396,33 @@
</blockquote>
</dd>
- <dt><b><a href="http://www.rationaldiscovery.com">Rational Discovery
- LLC</a></b></dt>
+ <dt><b><a href="http://pyrap.googlecode.com/">Pyrap</a></b></dt>
+ <dd>
+ <p><a href="diepen@astron.nl"
+ >Ger van Diepen</a> writes:</p>
+
+ <blockquote>
+ <p>Pyrap is the python interface to the Radio-Astronomical Package
+ casacore (<a href="http://casacore.googlecode.com/"
+ >casacore.googlecode.com</a>). Astronomers love pyrap because
+ it makes it easily possible to get their data (observed with
+ radio-astronomical telescopes like LOFAR, ASKAP, and eVLA) in numpy
+ arrays and do basic data inspection and manipulation using the many
+ python packages that are available.</p>
+
+ <p>Boost.Python made it quite easily possible to create converters for
+ the various data types, also for numpy arrays and individual elements
+ of a numpy array. It's nice they work fully recursively. Mapping C++
+ functions to Python was straightforward.</p>
+ </blockquote>
+ </dd>
+
+ <dt><b><a href="http://www.rdkit.org/"
+ >RDKit: Cheminformatics and Machine Learning Software</a></b></dt>
<dd>
- Rational Discovery provides computational modeling, combinatorial
- library design and custom software development services to the
- pharmaceutical, biotech and chemical industries. We do a substantial
- amount of internal research to develop new approaches for applying
- machine-learning techniques to solve chemical problems. Because we're a
- small organization and chemistry is a large and complex field, it is
- essential that we be able to quickly and easily prototype and test new
- algorithms.
-
- <p>For our internal software, we implement core data structures in C
- and expose them to Python using Boost.Python. Algorithm development is
- done in Python and then translated to C if required (often it's not).
- This hybrid development approach not only greatly increases our
- productivity, but it also allows "non-developers" (people without C
- experience) to take part in method development. Learning C is a
- daunting task, but "Python fits your brain." (Thanks to Bruce Eckel for
- the quote.)</p>
+ A collection of cheminformatics and machine-learning software
+ written in C++ and Python.
</dd>
</dl>
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