We're pleased to announce the 1.9 release of PyPy. This release brings mostly
-bugfixes, small improvements and overall progress on the `numpypy`_ effort.
+bugfixes, performance improvements, other small improvements and overall
+progress on the `numpypy`_ effort.
It also brings an improved situation on windows and OS X.
-First of all we would like to thank you to all people who donated their money.
-Even though most of the work is not finished yet and in fact, didn't even
-make it to this release, we ...
+You can download the PyPy 1.9 release here:
.. _`numpypy`: http://pypy.org/numpydonate.html
+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
+.. _`pypy 1.9 and cpython 2.7.2`: http://speed.pypy.org
+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)
+ * `Py3k (Python 3)`_ (got so far $43563 out of $105000)
+ * `Software Transactional Memory`_ (got so far $21791 of $50400)
+ * as well as our general PyPy pot.
+Thank you all for proving that it is indeed possible for a small team of
+(inexpensive) 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 an official release
+yet: people interested in them need to grab and (attempt to) translate
+PyPy from the corresponding branches (respectively ``py3k`` and
+* This release still implements Python 2.7, using the standard library of
+* Many bugs were corrected for Windows 32 bit. This includes new
+ functionality to test the validity of file descriptors; and
+ correct handling of the calling convensions for ctypes. (Still not
+ much progress on Win64.)
+* Improvements in ``cpyext``, our emulator for CPython C extension modules.
+ For example PyOpenSSL should now work.
+* Sets now have strategies just like dictionaries. This means for example
+ that a set containing only ints will be more compact (and faster).
+* A lot of progress on various aspects of ``numpypy``.
+* The non-x86 backends for the JIT are progressing but are still not
+ merged (ARMv7 and PPC64).
+XXX should we do something with whatsnew-1.9.txt?