PyPy 1.9釋出
We're pleased to announce the 1.9 release of PyPy. This release brings mostly bugfixes, performance improvements, other small improvements and overall progress on the numpypy effort.
It also brings an improved situation on Windows and OS X.
You can download the PyPy 1.9 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 1.9 and cpython 2.7.2 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.
Thanks to our donors
But first of all, we would like to say thank you to all people who donated some money to one of our four calls:
• NumPy in PyPy (got so far $44502 out of $60000, 74%)
• Py3k (Python 3) (got so far $43563 out of $105000, 41%)
• Software Transactional Memory (got so far $21791 of $50400, 43%)
• as well as our general PyPy pot.
Thank you all for proving that it is indeed possible for a small team of programmers to get funded like that, at least for some time. We want to include this thank you in the present release announcement even though most of the work is not finished yet. More precisely, neither Py3k nor STM are ready to make it in an official release yet: people interested in them need to grab and (attempt to) translate PyPy from the corresponding branches (respectively py3k and stm-thread).
It also brings an improved situation on Windows and OS X.
You can download the PyPy 1.9 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 1.9 and cpython 2.7.2 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.
Thanks to our donors
But first of all, we would like to say thank you to all people who donated some money to one of our four calls:
• NumPy in PyPy (got so far $44502 out of $60000, 74%)
• Py3k (Python 3) (got so far $43563 out of $105000, 41%)
• Software Transactional Memory (got so far $21791 of $50400, 43%)
• as well as our general PyPy pot.
Thank you all for proving that it is indeed possible for a small team of programmers to get funded like that, at least for some time. We want to include this thank you in the present release announcement even though most of the work is not finished yet. More precisely, neither Py3k nor STM are ready to make it in an official release yet: people interested in them need to grab and (attempt to) translate PyPy from the corresponding branches (respectively py3k and stm-thread).
來自 “ ITPUB部落格 ” ,連結:http://blog.itpub.net/301743/viewspace-732527/,如需轉載,請註明出處,否則將追究法律責任。
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