[pypy-dev] PyPy 2.0 - Einstein Sandwich

[Phyo Arkar]

Good news.

Unfortunately there is a dependency on libtinfo.so :

./bin/pypy: error while loading shared libraries: libtinfo.so.5: cannot
open shared object file: No such file or directory



On Fri, May 10, 2013 at 1:09 AM, Maciej Fijalkowski <fijall at gmail.com>wrote:

> 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
>
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