The PyPy team is proud to release both PyPy2.7 v5.8 (an interpreter supporting
Python 2.7 syntax), and a beta-quality PyPy3.5 v5.8 (an interpreter for Python
3.5 syntax). The two releases are both based on much the same codebase, thus
the dual release. Note that PyPy3.5 supports Linux 64bit only for now.
This new PyPy2.7 release includes the upstream stdlib version 2.7.13, and PyPy3.5 includes the upstream stdlib version 3.5.3.
We fixed critical bugs in the shadowstack rootfinder garbage collector strategy that crashed multithreaded programs and very rarely showed up even in single threaded programs.
We added native PyPy support to profile frames in the vmprof statistical profiler.
The
This release adds (but disables by default) link-time optimization and profile guided optimization of the base interpreter, which may make unjitted code run faster. To use these, translate with appropriate options. Be aware of issues with gcc toolchains, though.
Please let us know if your use case is slow, we have ideas how to make things faster but need real-world examples (not micro-benchmarks) of problematic code.
Work sponsored by a Mozilla grant continues on PyPy3.5; numerous fixes from CPython were ported to PyPy and PEP 489 was fully implemented. Of course the bug fixes and performance enhancements mentioned above are part of both PyPy 2.7 and PyPy 3.5.
CFFI, which is part of the PyPy release, has been updated to an unreleased 1.10.1, improving an already great package for interfacing with C.
Anyone using NumPy 1.13.0, must upgrade PyPy to this release since we implemented some previously missing C-API functionality. Many other c-extension modules now work with PyPy, let us know if yours does not.
As always, this release fixed many issues and bugs raised by the growing community of PyPy users. We strongly recommend updating.
You can download the v5.8 release here:
We also welcome developers of other dynamic languages to see what RPython can do for them.
The PyPy 2.7 release supports:
Please update, and continue to help us make PyPy better.
Cheers, The PyPy team
This new PyPy2.7 release includes the upstream stdlib version 2.7.13, and PyPy3.5 includes the upstream stdlib version 3.5.3.
We fixed critical bugs in the shadowstack rootfinder garbage collector strategy that crashed multithreaded programs and very rarely showed up even in single threaded programs.
We added native PyPy support to profile frames in the vmprof statistical profiler.
The
struct module functions pack* and unpack* are now much faster,
especially on raw buffers and bytearrays. Microbenchmarks show a 2x to 10x
speedup. Thanks to Gambit Research for sponsoring this work.This release adds (but disables by default) link-time optimization and profile guided optimization of the base interpreter, which may make unjitted code run faster. To use these, translate with appropriate options. Be aware of issues with gcc toolchains, though.
Please let us know if your use case is slow, we have ideas how to make things faster but need real-world examples (not micro-benchmarks) of problematic code.
Work sponsored by a Mozilla grant continues on PyPy3.5; numerous fixes from CPython were ported to PyPy and PEP 489 was fully implemented. Of course the bug fixes and performance enhancements mentioned above are part of both PyPy 2.7 and PyPy 3.5.
CFFI, which is part of the PyPy release, has been updated to an unreleased 1.10.1, improving an already great package for interfacing with C.
Anyone using NumPy 1.13.0, must upgrade PyPy to this release since we implemented some previously missing C-API functionality. Many other c-extension modules now work with PyPy, let us know if yours does not.
As always, this release fixed many issues and bugs raised by the growing community of PyPy users. We strongly recommend updating.
You can download the v5.8 release here:
We would like to thank our donors and contributors, and encourage new people to join the project. PyPy has many layers and we need help with all of them: PyPy and RPython documentation improvements, tweaking popular modules to run on PyPy, or general help with making RPython’s JIT even better.
What is PyPy?
PyPy is a very compliant Python interpreter, almost a drop-in replacement for CPython 2.7 and CPython 3.5. It’s fast (PyPy and CPython 2.7.x performance comparison) due to its integrated tracing JIT compiler.We also welcome developers of other dynamic languages to see what RPython can do for them.
The PyPy 2.7 release supports:
- x86 machines on most common operating systems (Linux 32/64 bits, Mac OS X 64 bits, Windows 32 bits, OpenBSD, FreeBSD)
- newer ARM hardware (ARMv6 or ARMv7, with VFPv3) running Linux,
- big- and little-endian variants of PPC64 running Linux,
- s390x running Linux
What else is new?
PyPy 5.7 was released in March, 2017.
There are many incremental improvements to RPython and PyPy, the complete listing is here.
Cheers, The PyPy team