Author: Matti Picus <matti.pi...@gmail.com>
Branch: extradoc
Changeset: r5614:5f22d5e547b6
Date: 2016-03-23 23:44 +0200
http://bitbucket.org/pypy/extradoc/changeset/5f22d5e547b6/

Log:    proposal for ScipyUS2016

diff --git a/scipyUS2016/proposal.rst b/scipyUS2016/proposal.rst
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+PyPy and the Numpy/Scipy Stack
+==============================
+
+Abstract (500 words or less)
+____________________________
+
+PyPy is used in the "other" python world of web servers and text processing. 
+What can it do for data crunching? How can it possibly work with Numpy and the
+rest of the Scientific Python data stack? In this talk I will briefly survey
+what is PyPy, our two approaches to compatibility with Numpy, and what that
+means for those who are looking for a drop-in solution to their processing
+challenges. 
+
+Longer Description
+__________________
+
+PyPy is maturing as a drop-in replacement for python 2.7. In the "other" world
+of web servers and text processing, PyPy's speed on long-running processes
+and compatibility with pure python packages makes it a good fit for mature
+technologies looking for a quick speed increase. 
+
+What about the world of number crunching, can PyPy possibly contribute
+anything to the crowded field of ahead-of-time solutions like cython or
+other just-in-time solutions like Numba? The PyPy team feels very strongly
+that we can, and in this talk I will try to outline PyPy's approach to
+intgrating numpy and the SciPy stack over this alternative interpreter.
+
+We have been working for a number of years on an alternative 
+implementation of the ndarray, tightly integrated to the PyPy machinary.
+Reimplementing numpy completely comes with costs, like a constant need to
+replicate updates when a new version of numpy is released.
+We've been recently experimenting with reusing
+more of C numpy through the C API and we have ideas how to merge both 
+approaches to have the best of both worlds.
+
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