Thanks Alex! great news! crongrats all!
2013/5/9 Alex Gaynor <alex.gay...@gmail.com> > cffi callbacks, as well as those in RPython (like those used by expat) > > Alex > > > On Thu, May 9, 2013 at 2:15 PM, Felipe Cruz <felipec...@loogica.net>wrote: > >> 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 >> >> > > > -- > "I disapprove of what you say, but I will defend to the death your right > to say it." -- Evelyn Beatrice Hall (summarizing Voltaire) > "The people's good is the highest law." -- Cicero > GPG Key fingerprint: 125F 5C67 DFE9 4084 > -- Felipe Cruz http://about.me/felipecruz
_______________________________________________ pypy-dev mailing list pypy-dev@python.org http://mail.python.org/mailman/listinfo/pypy-dev