triple release of 2.7, 3.5 and 3.6-alpha

Monday, February 11, 2019

PyPy v7.0.0: triple release of 2.7, 3.5 and 3.6-alpha

The PyPy team is proud to release the version 7.0.0 of PyPy, which includes three different interpreters:

• PyPy2.7, which is an interpreter supporting the syntax and the features of Python 2.7
• PyPy3.5, which supports Python 3.5
• PyPy3.6-alpha: this is the first official release of PyPy to support 3.6 features, although it is still considered alpha quality.

All the interpreters are based on much the same codebase, thus the triple release.
Until we can work with downstream providers to distribute builds with PyPy, we have made packages for some common packages available as wheels.
The GC hooks , which can be used to gain more insights into its performance, has been improved and it is now possible to manually manage the GC by using a combination of gc.disable and gc.collect_step. See the GC blog post.
We updated the cffi module included in PyPy to version 1.12, and the cppyy backend to 1.4. Please use these to wrap your C and C++ code, respectively, for a JIT friendly experience.
As always, this release is 100% compatible with the previous one and fixed several issues and bugs raised by the growing community of PyPy users. We strongly recommend updating.
The PyPy3.6 release and the Windows PyPy3.5 release are still not production quality so your mileage may vary. There are open issues with incomplete compatibility and c-extension support.
The utf8 branch that changes internal representation of unicode to utf8 did not make it into the release, so there is still more goodness coming. You can download the v7.0 releases here:

http://pypy.org/download.html

We would like to thank our donors for the continued support of the PyPy project. If PyPy is not quite good enough for your needs, we are available for direct consulting work.
We would also like to thank our 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.