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大家一起玩 PYPY

W
wilhelmshen

本文介绍了 pypy 的发展历程，包括使用 rpython 编写 Python 解释器及其 JIT 编译的优化效果。它提到 pypy 的版本迭代以及与其他编程语言的兼容性，强调了 pypy 在性能和调试便利性方面的优势。文章还简要提到未来的发展方向，包括对 JIT 和 stackless 的整合。

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大家一起玩 PYPY 2010 年长三角地区 PYTHON 11 月聚会
使用 PYTHON 解析 PYTHON
起先有了 PSYCO
JIT
PYTHON 版本
CPU
更快更智能的 JIT
更快？编译执行！ http://code.google.com/p/shedskin/
于是就有了 RPYTHON
编译期优化
BACKEND C .NET JAVA PROLOG SMALLTALK JAVASCRIPT IO SCHEME GAMEBOY
ctypes lltypesystem
MixedModule
PYPY 1.1
像 C 一样快的动态语言 不需要 MixedModule
重新实现 PYTHON 解释器
使用 RPYTHON 编写 即使你不了解 C 也没关系
RPYTHON CAN BE FAST THAN C 指令越高端，优化空间就越大
解释器 编写越便利， JIT 越强大
无须编译即可调试
支持巨量平台
STACKLESS PYTHON
不只是 PYTHON
UNLADEN SWALLOW 突然出现
LLVM
RPYTHON → LLVM
PYPY 1.2
JIT
PYPY 1.3
CPYEXT
PYPY 1.4 已于 26 号发布 http://pypy.org http://morepypy.blogspot.com
自编译！ http://morepypy.blogspot.com/2010/11/ improving-memory-behaviour-to-make-self.html
64 位 JIT 已经完成
下一步？ JIT + STACKLESS - GIL
谢谢观赏 沈崴 2010 年 11 月 28 日

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