[pypy-dev] PyPy 2.0 - Einstein Sandwich

[Felipe Cruz]

Thanks Alex!

great news! crongrats all!


2013/5/9 Alex Gaynor <alex.gaynor at 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 <felipecruz at 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 <fijall at 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 at python.org
>>> http://mail.python.org/mailman/listinfo/pypy-dev
>>>
>>
>>
>>
>> --
>> Felipe Cruz
>> http://about.me/felipecruz
>>
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>>
>
>
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>



-- 
Felipe Cruz
http://about.me/felipecruz
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