PyPy 2.6.0 发布,此版本更新 cffi 至版本 1.1,使得流行的 ctypes-alternative 更容易使用,支持新的 vmprof 统计分析工具。 PyPy 2.6.0 现已提供下载: http://pypy.org/download.html PyPY 包括 3 个子项目: Py3k (支持 Python 3.x) STM (software transactional memory) NumPy 值得关注的改进 Python 兼容性: 改进对 TLS 1.1 和 1.2 的支持 Windows 下载现在是一个 pypyw.exe 加一个 pypy.exe 支持 PYTHONOPTIMIZE 环境变量 (impacting builtin’s __debug__ property) 解决了之前版本报告的 issues:https://bitbucket.org/pypy/pypy/issues 或者 IRC at #pypy。 新特性: Add preliminary support for a new lightweight statistical profiler vmprof, which has been designed to accomodate profiling JITted code Numpy: Support for object dtype via a garbage collector hook Support for .can_cast and .min_scalar_type as well as beginning a refactoring of the internal casting rules Better support for subtypes, via the __array_interface__, __array_priority__, and __array_wrap__ methods (still a work-in-progress) Better support for ndarray.flags 性能提升: Improved IO performance of zlib and bz2 modules We continue to improve the JIT’s optimizations. Our benchmark suite is now over 7 times faster than cpython Slight improvement in frame sizes, improving some benchmarks Internal refactoring and cleanups leading to improved JIT performance 更多改进请看发行说明。 Cheers The PyPy Team PyPy 是用Python实现的Python解释器。 PyPy是,Python开发者为了更好的Hack Python创建的项目。此外,PyPy比CPython是更加灵活,易于使用和试验,以制定具体的功能在不同情况的实现方法,可以很容易实施。 该项目的目标是,让PyPy比C实现的Python更为容易的适应各个项目和方便裁剪。 PyPy 2.6.0 发布,Python 解释器下载地址