[pypy-dev] PyPy 2.0 - Einstein Sandwich

[Alex Gaynor]

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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