Friday, May 9, 2014

PyPy 2.3 - Terrestrial Arthropod Trap

We’re pleased to announce PyPy 2.3, which targets version 2.7.6 of the Python language. This release updates the stdlib from 2.7.3, jumping directly to 2.7.6.

This release also contains several bugfixes and performance improvements, many generated by real users finding corner cases. CFFI has made it easier than ever to use existing C code with both cpython and PyPy, easing the transition for packages like cryptographyPillow(Python Imaging Library [Fork]), a basic port of pygame-cffi, and others.

PyPy can now be embedded in a hosting application, for instance inside uWSGI

You can download the PyPy 2.3 release here:

http://pypy.org/download.html

PyPy is a very compliant Python interpreter, almost a drop-in replacement for CPython 2.7. It's fast (pypy 2.3 and cpython 2.7.x performance comparison; note that cpython's speed has not changed since 2.7.2) due to its integrated tracing JIT compiler.

This release supports x86 machines running Linux 32/64, Mac OS X 64, Windows, and OpenBSD, as well as newer ARM hardware (ARMv6 or ARMv7, with VFPv3) running Linux. 

We would like to thank our donors for the continued support of the PyPy project.

The complete release notice is here

Cheers, The PyPy Team

6 comments:

Anonymous said...

Hi Why don't you accept Bitcoin as one of donation methods? Bitcoin makes it easier to donate your project

I believe that you add it and announce it here, there will be several posts in Reddit and others sources that help you to collect funds

Anonymous said...

right, i think so

Anonymous said...

Hey,
Just wondering, does v2.3 contains the fix for issue 1683 titled "BytesIO leaks like hell"?

https://bugs.pypy.org/issue1683

Eric van Riet Paap said...

The bug status is set to resolved so one would expect it to be fixed. Please reopen the bug report if you think differently.

anatoly techtonik said...

There is no info about what what exactly made CFFI easier in this release.

Jacob Goodson said...

Hello pypy team! If you have not have not seen this post... http://www.rfk.id.au/blog/entry/pypy-js-faster-than-cpython/ , I think you will find it to be quite interesting!