blocks|key|3100184|text|不要告诉任何人，我已经在windows上运行了python/django。它工作得很好，对性能的影响也不会比你想象中的windows更糟。我使用的是MySQL，它的安装没有任何问题。我不得不摸索着找出如何管理它(没有好的旧sudo+/etc/init.d/mysql+restart，但我最终找到了一个图形界面来做我需要的。|type|unstyled|depth|inlineStyleRanges|offset|length|style|CODE|entityRanges|data|3100185|entityMap^0|33|U|0^^$0|@$1|2|3|4|5|6|7|H|8|@$9|I|A|J|B|C]]|D|@]|E|$]]|$1|F|3|-4|5|6|7|K|8|@]|D|@]|E|$]]]|G|$]]

Don't tell anybody this, but I've run python/django on windows. It works all right and the performance hit isn't any worse than you would expect from windows. I used MySQL and it installed without a problem. I had to grope around to find out how to manage it (no good ol' <code>sudo /etc/init.d/mysql restart</code> but i eventually found a graphical interface to do what I needed.

blocks|key|1067509|text|Python程序非常容易移植。大多数情况下，您的代码可以在具有适当版本的python的任何平台上工作。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|1067510|不过，需要注意的一点是文件路径处理。等使用不同的路径方案，所以你不应该将它们作为字符串来处理；而是使用os.path函数来连接、拆分等。|1067511|最终，在计时、线程、处理、I/O方面会有一些细微的性能差异，但它们没什么好担心的。|1067512|集成Python和C%2B%2B很容易；唯一的问题是在C%2B%2B端，即您必须重新编译C%2B%2B代码。|1067513|entityMap^0|0|0|0|0^^$0|@$1|2|3|4|5|6|7|J|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|K|8|@]|9|@]|A|$]]|$1|D|3|E|5|6|7|L|8|@]|9|@]|A|$]]|$1|F|3|G|5|6|7|M|8|@]|9|@]|A|$]]|$1|H|3|-4|5|6|7|N|8|@]|9|@]|A|$]]]|I|$]]

Python program is very easily portable. Most of the time your code will work on any platform that have the appropriate version of python.

One point to be aware of though, is file path handling. Linux, Windows, Macs, etc uses different path schemes, so you shouldn't be handling them as strings; instead use os.path functions to join, split, etc.

There is ultimately some slight performance difference with regard to timing, threading, processing, I/O, but they're nothing to worry about.

Integrating Python and C++ is easy; the only problem is in the C++ side, i.e. you will have to recompile the C++ code.

blocks|key|3100244|text|应该不是问题。有些人甚至在Windows上托管Python%2BDjango。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|3100245|entityMap^0|0^^$0|@$1|2|3|4|5|6|7|D|8|@]|9|@]|A|$]]|$1|B|3|-4|5|6|7|E|8|@]|9|@]|A|$]]]|C|$]]

Shouldn't be a problem. Some people even host Python+Django on Windows.

blocks|key|1815800|text|我一直在Windows和Linux上使用Py。我喜欢Linux是因为以下几点：|type|unstyled|depth|inlineStyleRanges|entityRanges|data|1815801|一旦你开始使用virtualenvs，就没有回头路可走了。在中执行|1815802|/管理命令时，|ordered-list-item|1815803|-+CMD是非常令人沮丧的。另外，你应该每次都添加python.exe：)。|1815804|ipython在Linux.|1815805|GeoDjango上运行得更好，在Vista/7上不能运行。我花了3天时间试着把它设置好。|1815806|+Linux是免费的：)|1815807|虽然在python跨平台工作时没有明显的性能影响或不兼容性，但是Linux对python开发的好处远远超过Windows。它更舒适，肯定会提升你的productivity.|1815808|...|1815809|1815810|IMHO+Linux是Python开发的明智选择。|1815811|entityMap^0|0|0|0|0|0|0|0|0|0|0|0^^$0|@$1|2|3|4|5|6|7|X|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|Y|8|@]|9|@]|A|$]]|$1|D|3|E|5|F|7|Z|8|@]|9|@]|A|$]]|$1|G|3|H|5|F|7|10|8|@]|9|@]|A|$]]|$1|I|3|J|5|F|7|11|8|@]|9|@]|A|$]]|$1|K|3|L|5|F|7|12|8|@]|9|@]|A|$]]|$1|M|3|N|5|F|7|13|8|@]|9|@]|A|$]]|$1|O|3|P|5|F|7|14|8|@]|9|@]|A|$]]|$1|Q|3|R|5|F|7|15|8|@]|9|@]|A|$]]|$1|S|3|-4|5|6|7|16|8|@]|9|@]|A|$]]|$1|T|3|U|5|6|7|17|8|@]|9|@]|A|$]]|$1|V|3|-4|5|6|7|18|8|@]|9|@]|A|$]]]|W|$]]

I've been working Py on both Windows and Linux. I favor Linux because of several things:

<ol>
<li>virtualenvs - once you start working with virtualenvs, there is no turning back.</li>
<li>SHELL - CMD is very frustrating when executing python/management commands in django. Also, you should add python.exe every time :).</li>
<li>ipython works better on Linux.</li>
<li>GeoDjango doesn't work on Vista/7 last time i checked. I spent 3 days trying to set it up. Just for comparison, i set GeoDjango-able development environment in 20 minutes in Linux.</li>
<li>Linux is free :)</li>
<li>Although there is no visible performance impact or incompatibility when working python cross-platform, the benefits of Linux for python development outweigh Windows by a lot. It's a lot more comfortable and definitely will boost your productivity.</li>
<li>...</li>
</ol>

IMHO Linux is the smart choice for Python development.

blocks|key|1069589|text|type|unstyled|depth|inlineStyleRanges|entityRanges|data|1069590|您所使用的软件将无法在windows、实际的web应用程序或您的开发环境中运行。如果你指的是集成开发环境，那么我不会担心有非常好的python+IDE用于windows，至于webapp，这是另一种讨论，|ordered-list-item|1069591|的说法是不准确的，有很多方法可以做到这一点，它们都不容易，我个人只尝试了SWIG，但还有很多其他的选择(例如Boost.Python)，不管是谁，我都不会相信，在windows环境下使用这些工具，即使没有像mingw或cygwin这样的东西，也同样容易上手，因为至少SWIG是在构建时就考虑到了*nix+|1069592|1069593|entityMap^0|0|0|0|0^^$0|@$1|2|3|-4|4|5|6|I|7|@]|8|@]|9|$]]|$1|A|3|B|4|C|6|J|7|@]|8|@]|9|$]]|$1|D|3|E|4|C|6|K|7|@]|8|@]|9|$]]|$1|F|3|-4|4|5|6|L|7|@]|8|@]|9|$]]|$1|G|3|-4|4|5|6|M|7|@]|8|@]|9|$]]]|H|$]]

<ol>
<li>Which software are you affraid will not work on windows, the actual web app or your development enviroment. If you mean the IDE, then I wouldn't worry about that there are very good python IDEs for windows, as for the webapp that's another discussion all together</li>
<li>The statement that "it is very easy integrating C++ libs with python" is not accurate, there are many ways of doing it and they are not all easy, I have personally only tried SWIG, but there are many other alternatives (for example Boost.Python), whoever I wouldn't believe it is as easy to get up and running with some of these tools on a windows enviromeny with out something like mingw or cygwin as at least SWIG is built with *nix in mind</li>
</ol>

blocks|key|4511199|text|type|unstyled|depth|inlineStyleRanges|entityRanges|data|4511200|，但担心该软件可能不能很好地运行在windows系统上。|blockquote|4511201|4511202|你的软件会工作的。Windows操作系统可能不会像您希望的那样工作。但那是Windows，不是Python。|4511203|我们100%25在Windows上开发。我们在Windows上进行了完整的测试:单元测试、集成测试和用户验收测试。100%25。|4511204|我们在Windows上为生产部署了0%25，在Linux上部署了100%25。|4511205|在特定于Windows的单元测试中，我们有一些(少于6个)不同之处。|4511206|应用程序没有任何更改。它能不能和Apache一起工作。它适用于SQLite或MySQL。|4511207|entityMap^0|0|0|0|0|0|0|0|0^^$0|@$1|2|3|-4|4|5|6|Q|7|@]|8|@]|9|$]]|$1|A|3|B|4|C|6|R|7|@]|8|@]|9|$]]|$1|D|3|-4|4|5|6|S|7|@]|8|@]|9|$]]|$1|E|3|F|4|5|6|T|7|@]|8|@]|9|$]]|$1|G|3|H|4|5|6|U|7|@]|8|@]|9|$]]|$1|I|3|J|4|5|6|V|7|@]|8|@]|9|$]]|$1|K|3|L|4|5|6|W|7|@]|8|@]|9|$]]|$1|M|3|N|4|5|6|X|7|@]|8|@]|9|$]]|$1|O|3|-4|4|5|6|Y|7|@]|8|@]|9|$]]]|P|$]]

<blockquote>
 but afraid the software may not work well on a windows box. 
</blockquote>

Your software will work. The Windows OS may not work as you hope. But that's Windows, not Python.

We develop 100% on Windows. We completely test: Unit test, integration test and user acceptance test on Windows. 100%.

We deploy for production 0% on Windows, 100% on Linux.

We have a few (less than 6) differences in the unit tests that are Windows-specific. 

The application has no changes. It works with Apache or not. It works with SQLite or MySQL.

I am interested in learning python but my Linux skills suck. I would like to develop a medium to large scale web application using python and django but afraid the software may not work well on a windows box. Is there a performance difference in running python on Linux vs Windows? Is there anything that I should watch out for when developing the application. Also, I am aware that it is very easy integrating C++ libraries with python. Is this statement still true is the code is on a windows box?

Running python on a Windows machine vs Linux

翻译质量差，导致语言生硬或混乱。

没有提供实际的解决方法或示例。

解答不清晰，无法理解或解决问题。

页面排版不美观，阅读体验差。

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我对学习python很感兴趣，但是我的Linux技术很糟糕。我想使用python和django开发一个中到大型的web应用程序，但担心该软件可能在windows box上不能很好地工作。在Linux上运行python与在Windows上运行python是否存在性能差异？在开发应用程序时有什么需要注意的地方吗？此外，我意...

问在Windows计算机上运行python与Linux
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