blocks|key|336022|text|easy_install之外的其他|type|unstyled|depth|inlineStyleRanges|entityRanges|offset|length|data|336023|对于我们的Linux服务器，我们使用easy_install和yum。|336024|对于我们的视窗开发笔记本电脑，我们在一些项目中使用easy_install和一些MSI。|336025|我们使用的大多数Python库都是纯源代码的，所以我们可以在所有机器上使用相同的发行版。如果我们可以有一个网络共享设备，我们会把它们都放在那里。可悲的是，我们的基础设施有点分散，所以我们必须移动.TAR文件或重做安装来重建环境。|336026|在少数情况下(例如PIL)，我们必须重新编译并检查版本号。|336027|entityMap|0|LINK|mutability|MUTABLE|url|http://peak.telecommunity.com/DevCenter/EasyInstall^0|0|C|0|0|0|0|0|0^^$0|@$1|2|3|4|5|6|7|T|8|@]|9|@$A|U|B|V|1|W]]|C|$]]|$1|D|3|E|5|6|7|X|8|@]|9|@]|C|$]]|$1|F|3|G|5|6|7|Y|8|@]|9|@]|C|$]]|$1|H|3|I|5|6|7|Z|8|@]|9|@]|C|$]]|$1|J|3|K|5|6|7|10|8|@]|9|@]|C|$]]|$1|L|3|-4|5|6|7|11|8|@]|9|@]|C|$]]]|M|$N|$5|O|P|Q|C|$R|S]]]]

Other than <a href="http://peak.telecommunity.com/DevCenter/EasyInstall" rel="nofollow noreferrer">easy_install</a>?

For our Linux servers, we use easy_install and yum.

For our Windows development laptops, we use easy_install and a few MSI's for some projects.

Most of the Python libraries we use are source-only, so we can use the same distribution on all boxes. If we could have a network shared device, we'd put them all there. Sadly, our infrastructure is kind of scattered, so we have to either move .TAR files around or redo the installs to rebuild the environments.

In a few cases (e.g., PIL), we have to recompile and check the version numbers.

blocks|key|336072|text|我也使用java和python。对于python开发，maven的等价物是setuptools+(http://peak.telecommunity.com/DevCenter/setuptools)。对于web应用程序开发，我将其与paster+(http://pythonpaste.org/)一起用于部署过程|type|unstyled|depth|inlineStyleRanges|entityRanges|offset|length|data|336073|entityMap|0|LINK|mutability|MUTABLE|url|http://peak.telecommunity.com/DevCenter/setuptools|1|http://pythonpaste.org/^0|1D|1E|0|3H|N|1|0^^$0|@$1|2|3|4|5|6|7|N|8|@]|9|@$A|O|B|P|1|Q]|$A|R|B|S|1|T]]|C|$]]|$1|D|3|-4|5|6|7|U|8|@]|9|@]|C|$]]]|E|$F|$5|G|H|I|C|$J|K]]|L|$5|G|H|I|C|$J|M]]]]

I also work with both java and python.
For python development the maven equivalent is setuptools (<a href="http://peak.telecommunity.com/DevCenter/setuptools" rel="nofollow noreferrer">http://peak.telecommunity.com/DevCenter/setuptools</a>). For web application development I use this in combination with paster (<a href="http://pythonpaste.org/" rel="nofollow noreferrer">http://pythonpaste.org/</a>) for the deployment process

blocks|key|3554017|text|您将希望easy_setup获得鸡蛋(大致就是Maven所说的工件)。|type|unstyled|depth|inlineStyleRanges|entityRanges|offset|length|data|3554018|要设置您的环境，请查看working-env.py|3554019|Python没有被编译，但是你可以把一个项目的所有文件放在一个鸡蛋里。这是通过setuptools完成的|3554020|对于CI，请检查this+answer。|3554021|entityMap|0|LINK|mutability|MUTABLE|url|http://pypi.python.org/pypi/setuptools|1|http://blog.ianbicking.org/working-env.html|2|3|https://stackoverflow.com/questions/535/continuous-integration-system-for-a-python-codebase^0|4|A|0|0|B|E|1|0|13|A|2|0|8|B|3|0^^$0|@$1|2|3|4|5|6|7|W|8|@]|9|@$A|X|B|Y|1|Z]]|C|$]]|$1|D|3|E|5|6|7|10|8|@]|9|@$A|11|B|12|1|13]]|C|$]]|$1|F|3|G|5|6|7|14|8|@]|9|@$A|15|B|16|1|17]]|C|$]]|$1|H|3|I|5|6|7|18|8|@]|9|@$A|19|B|1A|1|1B]]|C|$]]|$1|J|3|-4|5|6|7|1C|8|@]|9|@]|C|$]]]|K|$L|$5|M|N|O|C|$P|Q]]|R|$5|M|N|O|C|$P|S]]|T|$5|M|N|O|C|$P|Q]]|U|$5|M|N|O|C|$P|V]]]]

You will want <a href="http://pypi.python.org/pypi/setuptools" rel="nofollow noreferrer">easy_setup</a> to get the eggs (roughly what Maven calls an artifact).

For setting up your environment, have a look at <a href="http://blog.ianbicking.org/working-env.html" rel="nofollow noreferrer">working-env.py</a>

Python is not compiled but you can put all files for a project in an egg. This is done with <a href="http://pypi.python.org/pypi/setuptools" rel="nofollow noreferrer">setuptools</a>

For CI, check <a href="https://stackoverflow.com/questions/535/continuous-integration-system-for-a-python-codebase">this answer</a>.

blocks|key|336181|text|我正是使用setuptools和Hudson的组合来实现这一点的。我知道Hudson是一个java应用程序，但它可以很好地运行Python的东西。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|336182|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|$]]

I do exactly this with a combination of setuptools and Hudson. I know Hudson is a java app, but it can run Python stuff just fine.

blocks|key|1031526|text|创建包含的虚拟环境的|type|unstyled|depth|inlineStyleRanges|entityRanges|data|1031527|virtualenv+(防止不同版本的Python或Python包互相践踏)。人们越来越热衷于使用这个工具。作者和Aaron.|ordered-list-item|offset|length|1031528|pip提到的在virtualenv中安装包的旧的workingenv.py是一样的。根据S.Lott的回答，传统的方法是easy_install，但是pip与virtualenv一起工作得更好。作为一种构建工具，pip+though.|1031529|scons仍然具有pip+though.|1031530|scons中没有的功能，尽管如果您纯粹使用Python.|1031531|Fabric+paste，或者用于deployment.|1031532|buildbot的用于连续integration.|1031533|Bazaar，mercurial的paver，或者用于版本control.|1031534|Nose的git作为用于FIT测试的单元testing.|1031535|PyFit的扩展，则不需要此功能。|1031536|1031537|entityMap|0|LINK|mutability|MUTABLE|url|http://pypi.python.org/pypi/virtualenv|1|http://pypi.python.org/pypi/pip|2|http://www.scons.org/|3|4|http://pypi.python.org/pypi/Fabric/0.0.3|5|http://buildbot.net/trac|6|http://www.blueskyonmars.com/projects/paver/|7|http://somethingaboutorange.com/mrl/projects/nose/|8|http://fit.c2.com/|9|http://pypi.python.org/pypi/PyFIT/0.8a2^0|0|0|A|0|0|0|3|1|0|0|5|2|0|0|5|3|0|0|6|4|0|0|8|5|0|H|5|6|0|0|4|7|C|3|8|0|0|5|9|0|0^^$0|@$1|2|3|4|5|6|7|1M|8|@]|9|@]|A|$]]|$1|B|3|C|5|D|7|1N|8|@]|9|@$E|1O|F|1P|1|1Q]]|A|$]]|$1|G|3|H|5|D|7|1R|8|@]|9|@$E|1S|F|1T|1|1U]]|A|$]]|$1|I|3|J|5|D|7|1V|8|@]|9|@$E|1W|F|1X|1|1Y]]|A|$]]|$1|K|3|L|5|D|7|1Z|8|@]|9|@$E|20|F|21|1|22]]|A|$]]|$1|M|3|N|5|D|7|23|8|@]|9|@$E|24|F|25|1|26]]|A|$]]|$1|O|3|P|5|D|7|27|8|@]|9|@$E|28|F|29|1|2A]]|A|$]]|$1|Q|3|R|5|D|7|2B|8|@]|9|@$E|2C|F|2D|1|2E]]|A|$]]|$1|S|3|T|5|D|7|2F|8|@]|9|@$E|2G|F|2H|1|2I]|$E|2J|F|2K|1|2L]]|A|$]]|$1|U|3|V|5|D|7|2M|8|@]|9|@$E|2N|F|2O|1|2P]]|A|$]]|$1|W|3|-4|5|6|7|2Q|8|@]|9|@]|A|$]]|$1|X|3|-4|5|6|7|2R|8|@]|9|@]|A|$]]]|Y|$Z|$5|10|11|12|A|$13|14]]|15|$5|10|11|12|A|$13|16]]|17|$5|10|11|12|A|$13|18]]|19|$5|10|11|12|A|$13|18]]|1A|$5|10|11|12|A|$13|1B]]|1C|$5|10|11|12|A|$13|1D]]|1E|$5|10|11|12|A|$13|1F]]|1G|$5|10|11|12|A|$13|1H]]|1I|$5|10|11|12|A|$13|1J]]|1K|$5|10|11|12|A|$13|1L]]]]

<ol>
<li><a href="http://pypi.python.org/pypi/virtualenv" rel="noreferrer">virtualenv</a> to create a contained virtual environment (prevent different versions of Python or Python packages from stomping on each other). There is increasing buzz from people moving to this tool. The author is the same as the older working-env.py mentioned by Aaron.</li>
<li><a href="http://pypi.python.org/pypi/pip" rel="noreferrer">pip</a> to install packages inside a virtualenv. The traditional is easy_install as answered by S. Lott, but pip works better with virtualenv. easy_install still has features not found in pip though.</li>
<li><a href="http://www.scons.org/" rel="noreferrer">scons</a> as a build tool, although you won't need this if you stay purely Python.</li>
<li><a href="http://pypi.python.org/pypi/Fabric/0.0.3" rel="noreferrer">Fabric</a> paste, or <a href="http://www.blueskyonmars.com/projects/paver/" rel="noreferrer">paver</a> for deployment.</li>
<li><a href="http://buildbot.net/trac" rel="noreferrer">buildbot</a> for continuous integration.</li>
<li>Bazaar, mercurial, or git for version control.</li>
<li><a href="http://somethingaboutorange.com/mrl/projects/nose/" rel="noreferrer">Nose</a> as an extension for unit testing.</li>
<li><a href="http://pypi.python.org/pypi/PyFIT/0.8a2" rel="noreferrer">PyFit</a> for <a href="http://fit.c2.com" rel="noreferrer">FIT</a> testing.</li>
</ol>

blocks|key|3554209|text|如果不提到由TurboGears名人Kevin+Dangoor创建的Paver，那就太不负责任了。该项目仍处于alpha阶段，但它看起来非常有前途。项目页面中的一段代码：|type|unstyled|depth|inlineStyleRanges|entityRanges|offset|length|data|3554210|Python是一个基于|3554211|的构建/分发/部署脚本工具，类似于Make或Rake。Paver的独特之处在于它与常用的Python库集成在一起。以前很容易的常见任务现在也变得很容易。更重要的是，现在处理应用程序的特定需求和要求要容易得多。|blockquote|3554212|3554213|entityMap|0|LINK|mutability|MUTABLE|url|http://www.turbogears.org/|1|http://www.blueskyonmars.com/projects/paver/^0|6|A|0|Y|5|1|0|0|0|0^^$0|@$1|2|3|4|5|6|7|T|8|@]|9|@$A|U|B|V|1|W]|$A|X|B|Y|1|Z]]|C|$]]|$1|D|3|E|5|6|7|10|8|@]|9|@]|C|$]]|$1|F|3|G|5|H|7|11|8|@]|9|@]|C|$]]|$1|I|3|-4|5|6|7|12|8|@]|9|@]|C|$]]|$1|J|3|-4|5|6|7|13|8|@]|9|@]|C|$]]]|K|$L|$5|M|N|O|C|$P|Q]]|R|$5|M|N|O|C|$P|S]]]]

We would be remiss not to also mention <a href="http://www.blueskyonmars.com/projects/paver/" rel="nofollow noreferrer">Paver</a>, which was created by Kevin Dangoor of <a href="http://www.turbogears.org/" rel="nofollow noreferrer">TurboGears</a> fame. The project is still in alpha, but it appears very promising. A snippet from the project page:

<blockquote>
 Paver is a Python-based build/distribution/deployment scripting tool along the lines of Make or Rake. What makes Paver unique is its integration with commonly used Python libraries. Common tasks that were easy before remain easy. More importantly, dealing with your applications specific needs and requirements is now much easier.
</blockquote>

blocks|key|1035978|text|你可能想看看我们的。它允许您标准化开发、QA和UAT的构建环境。它是免费的，就像“免费啤酒”一样。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|1035979|HTH|1035980|entityMap^0|0|0^^$0|@$1|2|3|4|5|6|7|F|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|G|8|@]|9|@]|A|$]]|$1|D|3|-4|5|6|7|H|8|@]|9|@]|A|$]]]|E|$]]

You might want to check our <a href="http://www.viewtier.com/products/devenv/index.htm" rel="nofollow noreferrer">Devenv</a>. It allows you to standardize the build environments for development, QA and UAT. It's free as in "free beer".

HTH

I used to be a java developer and we used tools like ant or maven to manage our development/testing/UAT environments in a standardized way. This allowed us to handle library dependencies, setting OS variables, compiling, deploying, running unit tests, and all the required tasks. Also, the scripts generated guaranteed that all the environments were almost equally configured, and all the task were performed in the same way by all the members of the team. 

I'm starting to work in Python now and I'd like your advice in which tools should I use to accomplish the same as described for java.

Tool (or combination of tools) for reproducible environments in Python

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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