如何为多个Python版本和平台构建编译模块

我已经为自己的进程构建了一个Python 3模块。

I have build a Python 3 module for my own process.

我使用cython编译和包装C ++源代码。

I use cython to compile and wrap C++ sources.

我有一台具有Python 3.4的Linux（Debian Jessie）计算机，因此cythonize使我成为 Processing.cpython-34m.so 并将其复制到 /usr/local/lib/python3.4/dist-packages 。

I have a Linux (Debian Jessie) machine with Python 3.4 and so cythonize make me a Processing.cpython-34m.so and copy it to /usr/local/lib/python3.4/dist-packages.

但是当我在具有python3.5，我必须重新编译所有内容。

But when I use it on another machine which has python3.5, I have to recompile everything.

如何从我的机器上为所有Python 3版本和多个平台构建Linux或pip软件包（在这里，仅Jessie和Stretch（可能非常接近，确实相等））？
最好不必在我的机器上安装所有版本的Python 3。

How can I build a Linux or pip package from my machine for all Python 3 version and multiple platforms (here, just Jessie and Stretch, which might be very closed indeed equal) ? Preferably without having to install all version of Python 3 on my machine.

这是我的用于cythonization的setup.py文件：

Here is my setup.py file for cythonization :

from distutils.core import setup, Extension
from Cython.Build import cythonize

setup(ext_modules = cythonize(Extension(
            "MyProcessing",
            sources=["MyProcessing.pyx", "myprocess.cpp", "mythirdp.cpp"],
            language="c++", 
        )))

谢谢。