问题描述
我想用Python编写对性能敏感的应用程序，因此在PyPy下执行它是很自然的选择.但是，我的代码很大一部分取决于numpy，scipy和scikit-learn.为了调用面向数组的代码，是否可以将CPython实例嵌入正在运行的PyPy程序中?如果没有，那么使PyPy和CPython相互交谈的最简单方法是什么?
I'd like to write a performance-sensitive application in Python, so executing it under PyPy is a natural choice. However, a significant portion of my code depends on numpy, scipy, and scikit-learn. Would it be possible to embed a CPython instance within a running PyPy program in order to call array-oriented code? If not, what's the easiest way to make PyPy and CPython talk to each other?
推荐答案
不，您不能将CPython嵌入PyPy AFAIK中.但是，您可以使用分布式/并行执行系统来使PyPy与CPython对话. execnet 和 Pyro 提到了这种精确的PyPy <-> CPython用例. Python Wiki的并行处理页中的其他软件包也可能适用.
No, you can't embed CPython inside PyPy AFAIK. You can, however, use distributed/parallel execution systems to make PyPy talk to CPython. Both execnet and Pyro mention this precise PyPy <-> CPython use case. Other packages from Python Wiki's Parallel Processing page are probably suitable too.
正如delnan所提到的，当前的讨论关于在PyPy中实现Numpy的PyPy开发人员的计划(其中不包括对scipy的支持，以及scikit.learn为止).
Also, as delnan mentions, there's a current discussion about PyPy developers' plan on implementing Numpy in PyPy (which doesn't include support for scipy, and scikit.learn so far).
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