Author: Maciej Fijalkowski <fij...@gmail.com>
Branch:
Changeset: r63819:c16cd00e82ef
Date: 2013-05-03 14:07 +0200
http://bitbucket.org/pypy/pypy/changeset/c16cd00e82ef/
Log: merge
diff --git a/pypy/doc/release-2.0.0.rst b/pypy/doc/release-2.0.0.rst
--- a/pypy/doc/release-2.0.0.rst
+++ b/pypy/doc/release-2.0.0.rst
@@ -3,18 +3,18 @@
============================
We're pleased to announce PyPy 2.0. This is a stable release that brings
-swath of bugfixes, small performance improvements and compatibility fixes.
+a swath of bugfixes, small performance improvements and compatibility fixes.
You can download the PyPy 2.0 release here:
http://pypy.org/download.html
-Two biggest changes since PyPy 1.9 are:
+The two biggest changes since PyPy 1.9 are:
* stackless is now supported including greenlets, which means eventlet
and gevent should work (but read below about gevent)
-* PyPy now contains a release 0.6 of `cffi`_ as a builtin module, which
+* PyPy now contains release 0.6 of `cffi`_ as a builtin module, which
is preferred way of calling C from Python that works well on PyPy
.. _`cffi`: http://cffi.readthedocs.org
@@ -37,17 +37,22 @@
==========
* Stackless including greenlets should work. For gevent, you need to check
- out `pypycore`_ and use `pypy-hacks`_ branch of gevent.
+ out `pypycore`_ and use the `pypy-hacks`_ branch of gevent.
-* cffi is not a module included with PyPy. It's a preferred way of calling
- C from Python that works on PyPy.
+* cffi is now a module included with PyPy. (`cffi`_ also exists for
+ CPython; the two versions should be fully compatible.) It is the
+ preferred way of calling C from Python that works on PyPy.
-* Callbacks from C are now JITted, which means XML parsing is much faster
+* Callbacks from C are now JITted, which means XML parsing is much faster.
* A lot of speed improvements in various language corners, most of them small,
- but speeding up a particular corner a lot
+ but speeding up some particular corners a lot.
-* A lot of stability issues fixed
+* The JIT was refactored to emit machine code which manipulates a "frame"
+ that lives on the heap rather than on the stack. This is what makes
+ Stackless work, and it could bring another future speed-up (not done yet).
+
+* A lot of stability issues fixed.
.. _`pypycore`: https://github.com/gevent-on-pypy/pypycore/
.. _`pypy-hacks`: https://github.com/schmir/gevent/tree/pypy-hacks
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