将Python编译成机器代码是否可行？ [英] Is it feasible to compile Python to machine code?

问题描述

将Python（可能通过中间C表示）编译成机器代码有多可行？

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

可能需要链接到Python运行时库，并且Python标准库的任何部分都需要编译（并链接到）。

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，还需要绑定Python解释器if你想对表达式进行动态评估，但也许有一部分Python不允许这样做仍然有用。

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/或内存使用优点？假设Python解释器的启动时间将被消除（尽管共享库仍然需要在启动时加载）。

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

a href =http://shed-skin.blogspot.com/ =nofollow noreferrer> ShedSkin Python到C ++编译器，但它远非完美。还有Psyco - Python JIT如果只需要加速。但IMHO这不值得的努力。对于速度至关重要的代码部分，最好的解决方案是将它们写为C / C ++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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