在Python，为什么在C比纯Python模块来实现更快的一个模块，我该怎么写呢？ [英] In Python, why is a module implemented in C faster than a pure Python module, and how do I write one?
问题描述
Python文档的状态，即cPickle的原因是快于味酸是，前者是用C实现的是什么意思是什么呢？
The python documentation states, that the reason cPickle is faster than Pickle is, that the former is implemented in C. What does that mean exactly?
我想提出一个模块在Python先进的数学和一些计算需要很长时间显著量。这是否意味着，如果我的程序是用C语言实现它可以制成更快？
I am making a module for advanced mathematics in Python, and some calculations take a significant amount of time. Does that mean that if my program is implemented in C it can be made much faster?
我想从其他Python程序中导入这个模块，只是我可以导入cPickle的方式。
I wish to import this module from other Python programs, just the way I can import cPickle.
你能解释一下怎么办落实在C Python模块？
Can you explain how to do implement a Python module in C?
推荐答案
您可以编写快速的C code，然后用它在你的Python脚本，让你的程序将运行得更快。 [1]
http://docs.python.org/extending/index.html#extending-index
you can write fast C code and then use it in your python scripts, so your program will run faster. [1] http://docs.python.org/extending/index.html#extending-index
一个例子是numpy的，写在C（ http://numpy.scipy.org/ ）
an example is Numpy, written in C ( http://numpy.scipy.org/ )
一个典型的应用是落实瓶颈C（或用C语言编写的一个图书馆，当然;）），由于其速度，使用Python为剩余code
a typical use is to implement the bottleneck in C (or to use a library written in C, of course ;) ), due to its speed, and to use python for the remaining code
[1]的方式，这就是为什么cPickle的比咸菜快
[1] by the way, this is why cPickle is faster than pickle
编辑：
看一看耐热玻璃：的http://www.cosc.canterbury.ac.nz/greg.ewing/python/Pyrex/version/Doc/About.html
耐热玻璃是专门的语言
专为编写Python扩展
模块。它旨在弥合
漂亮的，高层次的差距，
易于使用世界Python和的
凌乱，C的低级别的世界
'Pyrex is a language specially designed for writing Python extension modules. It's designed to bridge the gap between the nice, high-level, easy-to-use world of Python and the messy, low-level world of C. '
这不是官方的方式，但它可能是有用的。
it's not the 'official' way but it may be useful
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