[pypy-commit] extradoc extradoc: rephrasing

mattip pypy.commits at gmail.com
Wed Mar 23 18:25:51 EDT 2016


Author: Matti Picus <matti.picus at gmail.com>
Branch: extradoc
Changeset: r5615:ec4f1768be95
Date: 2016-03-24 00:25 +0200
http://bitbucket.org/pypy/extradoc/changeset/ec4f1768be95/

Log:	rephrasing

diff --git a/scipyUS2016/proposal.rst b/scipyUS2016/proposal.rst
--- a/scipyUS2016/proposal.rst
+++ b/scipyUS2016/proposal.rst
@@ -4,7 +4,7 @@
 Abstract (500 words or less)
 ____________________________
 
-PyPy is used in the "other" python world of web servers and text processing. 
+PyPy is used successfully in the 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
@@ -14,7 +14,7 @@
 Longer Description
 __________________
 
-PyPy is maturing as a drop-in replacement for python 2.7. In the "other" world
+PyPy is maturing as a drop-in replacement for python 2.7. In the 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. 
@@ -23,7 +23,8 @@
 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.
+intgrating numpy and the SciPy stack on top of this alternative interpreter,
+after a brief introduction of the RPython toolchain and the PyPy interpreter.
 
 We have been working for a number of years on an alternative 
 implementation of the ndarray, tightly integrated to the PyPy machinary.
@@ -31,5 +32,5 @@
 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.
+approaches to have the best of both worlds. 
 


More information about the pypy-commit mailing list