OK here is the link if everyone wondering where to download :
https://bitbucket.org/pypy/pypy/downloads/pypy-1.7-linux64.tar.bz2 On Mon, Nov 21, 2011 at 5:05 PM, Maciej Fijalkowski <[email protected]>wrote: > ================================== > PyPy 1.7 - widening the sweet spot > ================================== > > We're pleased to announce the 1.7 release of PyPy. As became a habit, this > release brings a lot of bugfixes and performance improvements over the 1.6 > release. However, unlike the previous releases, the focus has been on > widening > the "sweet spot" of PyPy. That is, classes of Python code that PyPy can > greatly > speed up should be vastly improved with this release. You can download the > 1.7 > release here: > > http://pypy.org/download.html > > What is PyPy? > ============= > > PyPy is a very compliant Python interpreter, almost a drop-in replacement > for > CPython 2.7. It's fast (`pypy 1.7 and cpython 2.7.1`_ performance > comparison) > due to its integrated tracing JIT compiler. > > This release supports x86 machines running Linux 32/64, Mac OS X 32/64 or > Windows 32. Windows 64 work is ongoing, but not yet natively supported. > > The main topic of this release is widening the range of code which PyPy > can greatly speed up. On average on > our benchmark suite, PyPy 1.7 is around **30%** faster than PyPy 1.6 and up > to **20 times** faster on some benchmarks. > > .. _`pypy 1.7 and cpython 2.7.1`: http://speed.pypy.org > > > Highlights > ========== > > * Numerous performance improvements. There are too many examples which > python > constructs now should behave faster to list them. > > * Bugfixes and compatibility fixes with CPython. > > * Windows fixes. > > * PyPy now comes with stackless features enabled by default. However, > any loop using stackless features will interrupt the JIT for now, so no > real > performance improvement for stackless-based programs. Contact pypy-dev for > info how to help on removing this restriction. > > * NumPy effort in PyPy was renamed numpypy. In order to try using it, > simply > write:: > > import numpypy as numpy > > at the beginning of your program. There is a huge progress on numpy in > PyPy > since 1.6, the main feature being implementation of dtypes. > > * JSON encoder (but not decoder) has been replaced with a new one. This one > is written in pure Python, but is known to outperform CPython's C > extension > up to **2 times** in some cases. It's about **20 times** faster than > the one that we had in 1.6. > > * The memory footprint of some of our RPython modules has been drastically > improved. This should impact any applications using for example > cryptography, > like tornado. > > * There was some progress in exposing even more CPython C API via cpyext. > > Things that didn't make it, expect in 1.8 soon > ============================================== > > There is an ongoing work, which while didn't make it to the release, is > probably worth mentioning here. This is what you should probably expect in > 1.8 some time soon: > > * Specialized list implementation. There is a branch that implements lists > of > integers/floats/strings as compactly as array.array. This should > drastically > improve performance/memory impact of some applications > > * NumPy effort is progressing forward, with multi-dimensional arrays coming > soon. > > * There are two brand new JIT assembler backends, notably for the PowerPC > and > ARM processors. > > Fundraising > =========== > > It's maybe worth mentioning that we're running fundraising campaigns for > NumPy effort in PyPy and for Python 3 in PyPy. In case you want to see any > of those happen faster, we urge you to donate to `numpy proposal`_ or > `py3k proposal`_. In case you want PyPy to progress, but you trust us with > the general direction, you can always donate to the `general pot`_. > > .. _`numpy proposal`: http://pypy.org/numpydonate.html > .. _`py3k proposal`: http://pypy.org/py3donate.html > .. _`general pot`: http://pypy.org > _______________________________________________ > pypy-dev mailing list > [email protected] > http://mail.python.org/mailman/listinfo/pypy-dev >
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