Hi Maciej! * Callbacks from C are now JITted, which means XML parsing is much faster.
You mean, cffi callbacks? regards, 2013/5/9 Maciej Fijalkowski <fij...@gmail.com> > We're pleased to announce PyPy 2.0. This is a stable release that brings > a swath of bugfixes, small performance improvements and compatibility > fixes. > PyPy 2.0 is a big step for us and we hope in the future we'll be able to > provide stable releases more often. > > You can download the PyPy 2.0 release here: > > http://pypy.org/download.html > > 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 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 > > If you're using PyPy for anything, it would help us immensely if you fill > out > the following survey: http://bit.ly/pypysurvey This is for the developers > eyes and we will not make any information public without your agreement. > > What is PyPy? > ============= > > PyPy is a very compliant Python interpreter, almost a drop-in replacement > for > CPython 2.7. It's fast (`pypy 2.0 and cpython 2.7.3`_ performance > comparison) > due to its integrated tracing JIT compiler. > > This release supports x86 machines running Linux 32/64, Mac OS X 64 or > Windows 32. Windows 64 work is still stalling, we would welcome a > volunteer > to handle that. ARM support is on the way, as you can see from the recently > released alpha for ARM. > > .. _`pypy 2.0 and cpython 2.7.3`: http://speed.pypy.org > > Highlights > ========== > > * Stackless including greenlets should work. For gevent, you need to check > out `pypycore`_ and use the `pypy-hacks`_ branch of gevent. > > * 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. > > * A lot of speed improvements in various language corners, most of them > small, > but speeding up some particular corners a lot. > > * 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. > > * Refactoring much of the numpypy array classes, which resulted in removal > of > lazy expression evaluation. On the other hand, we now have more complete > dtype support and support more array attributes. > > .. _`pypycore`: https://github.com/gevent-on-pypy/pypycore/ > .. _`pypy-hacks`: https://github.com/schmir/gevent/tree/pypy-hacks > > Cheers, > fijal, arigo and the PyPy team > _______________________________________________ > pypy-dev mailing list > pypy-dev@python.org > http://mail.python.org/mailman/listinfo/pypy-dev > -- Felipe Cruz http://about.me/felipecruz
_______________________________________________ pypy-dev mailing list pypy-dev@python.org http://mail.python.org/mailman/listinfo/pypy-dev
