与CPython，Jython和IronPython相比，PyPy需要提供什么? [英] What does PyPy have to offer over CPython, Jython, and IronPython?

问题描述

根据我在博客上看到和阅读的内容，PyPy是一个非常雄心勃勃的项目.与同级产品(CPython，Jython和IronPython)相比，它将带来哪些优势?是速度，跨平台兼容性(包括移动平台)，在没有GIL的情况下使用c扩展的能力，还是更多关于可以做什么的技术练习?

From what I have seen and read on blogs, PyPy is a very ambitious project. What are some advantages it will bring to the table over its siblings (CPython, Jython, and IronPython)? Is it speed, cross-platform compatibility (including mobile platforms), the ability to use c-extensions without the GIL, or is this more of a technical exercise on what can be done?

推荐答案

PyPy实际上是两个项目:

PyPy is really two projects:

• 解释器编译器工具链，使您可以在RPython(Python的静态子集)中编写解释器，并为JVM，.NET(等)独立编译跨平台的解释器
• RPython中Python的实现

这两个项目允许很多事情.

• 在Python中维护Python比在C中维护Python容易得多
• 从单个代码库中，您可以生成可在JVM，.NET和独立运行的Python解释器-而不是具有多个稍微不兼容的实现
• 编译器工具链的一部分包括一个实验性的JIT生成器(现在已经进入第五代并且可以很好地运行)- goal 用于让JITed PyPy运行很多比CPython快
• 尝试使用基本语言功能(例如删除GIL，更好的垃圾回收，集成无堆栈等等)要容易得多

• Maintaining Python in Python is much easier than maintaining it in C
• From a single codebase you can generate Python interpreters that run on the JVM, .NET and standalone - rather than having multiple slightly incompatible implementations
• Part of the compiler toolchain includes an experimental JIT generator (now in its fifth incarnation and starting to work really well) - the goal is for a JITed PyPy to run much faster than CPython
• It is much easier to experiment with fundamental language features - like removing the GIL, better garbage collection, integrating stackless and so on

因此，PyPy令人兴奋的确有很多原因，它终于开始履行其所有诺言.

So there are really a lot of reasons for PyPy to be exciting, and it is finally starting to live up to all its promises.

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