它是编译的Python机器code是否可行？ [英] Is it feasible to compile Python to machine code?

问题描述

如何可行的会是（通过中间c重新presentation可能）编译的Python成机器code？

How feasible would it be to compile Python (possibly via an intermediate C representation) into machine code?

presumably那就需要链接到一个Python运行时库，并为Python的本身将需要编译（和链接中）太Python标准库的任何部分。

Presumably it would need to link to a Python runtime library, and any parts of the Python standard library which were Python themselves would need to be compiled (and linked in) too.

此外，您还需要捆绑Python的跨preTER如果你想要做的前pressions的动态评价，但也许Python中的一个子集，并没有让这仍然将是有益的。

Also, you would need to bundle the Python interpreter if you wanted to do dynamic evaluation of expressions, but perhaps a subset of Python that didn't allow this would still be useful.

它会提供任何速度和/或内存使用情况的优势？ presumably Python的跨preTER的启动时间将被淘汰（尽管共享库仍需要在启动时加载）。

Would it provide any speed and/or memory usage advantages? Presumably the startup time of the Python interpreter would be eliminated (although shared libraries would still need loading at startup).

推荐答案

尝试 ShedSkin 的Python到C ++编译器，但它远非完美。也有使用Psyco - Python的JIT如果只需要加速。但恕我直言，这是不值得的努力。对于code的速度关键部分最好的办法是把它们写为C / C ++的扩展。

Try ShedSkin Python-to-C++ compiler, but it is far from perfect. Also there is Psyco - Python JIT if only speedup is needed. But IMHO this is not worth the effort. For speed-critical parts of code best solution would be to write them as C/C++ extensions.

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