blocks|key|2528568|text|您可以使用Eclipse，Pydev的最新版本(>2.3.0)可以包含pep8检查器，因此检查将实时完成。一旦你写好了代码，校验者就会对其进行验证。|type|unstyled|depth|inlineStyleRanges|entityRanges|offset|length|data|2528569|entityMap|0|LINK|mutability|MUTABLE|url|http://eclipse.org/|1|http://pydev.org/^0|5|7|0|D|5|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]]]]

You could use <a href="http://eclipse.org" rel="noreferrer">Eclipse</a>, the last versions (>2.3.0) of <a href="http://pydev.org/" rel="noreferrer">Pydev</a> can include the pep8 checker, so the check will be done in real-time. As soon you wrote the code, the checker will verify it.

blocks|key|2738332|text|这是一个自称是小抄的要点：|type|unstyled|depth|inlineStyleRanges|entityRanges|data|2738333|https://gist.github.com/RichardBronosky/454964087739a449da04|offset|length|2738334|entityMap|0|LINK|mutability|MUTABLE|url^0|0|0|1O|0|0^^$0|@$1|2|3|4|5|6|7|M|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|N|8|@]|9|@$D|O|E|P|1|Q]]|A|$]]|$1|F|3|-4|5|6|7|R|8|@]|9|@]|A|$]]]|G|$H|$5|I|J|K|A|$L|C]]]]

Here's a gist which claims to be a cheatsheet:

<a href="https://gist.github.com/RichardBronosky/454964087739a449da04" rel="noreferrer">https://gist.github.com/RichardBronosky/454964087739a449da04</a>

blocks|key|48087|text|我倾向于查看来自具有贡献者策略的已建立项目的代码，包括PEP。下面是一些示例：|type|unstyled|depth|inlineStyleRanges|entityRanges|data|48088|速览：|offset|length|style|BOLD|48089|_from_model.py|48090|logistic.py|unordered-list-item|48091|
|48092|Gaussian+process+_gpr.py|48093|
的|48094|功能选择|48095|48096|Keras:+training.py|48097|烧瓶：+sessions.py|48098|在这里的例子中，Keras和Flask在必要时允许超过80个字符的行，这在其他项目中似乎也很常见。scikit+lean似乎与我所见过的示例完全一致。|48099|我认为这是docstring：Napoleon的一个很好的例子。虽然这是谷歌对文档字符串的看法，而不是官方的Python。|48100|entityMap|0|LINK|mutability|MUTABLE|url|https://github.com/scikit-learn/scikit-learn/blob/master/sklearn/feature_selection/_from_model.py|1|https://github.com/scikit-learn/scikit-learn/blob/master/sklearn/linear_model/_logistic.py|2|https://github.com/scikit-learn/scikit-learn/blob/master/sklearn/gaussian_process/_gpr.py|3|https://github.com/fchollet/keras/blob/master/keras/engine/training.py|4|https://github.com/pallets/flask/blob/master/src/flask/sessions.py|5|http://sphinxcontrib-napoleon.readthedocs.org/en/latest/example_google.html^0|0|0|3|0|0|E|0|0|0|B|1|0|0|H|7|2|0|0|0|0|0|6|7|B|3|0|0|3|4|B|4|0|0|F|8|5|0^^$0|@$1|2|3|4|5|6|7|1L|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|1M|8|@$D|1N|E|1O|F|G]]|9|@]|A|$]]|$1|H|3|I|5|6|7|1P|8|@]|9|@$D|1Q|E|1R|1|1S]]|A|$]]|$1|J|3|K|5|L|7|1T|8|@]|9|@$D|1U|E|1V|1|1W]]|A|$]]|$1|M|3|N|5|6|7|1X|8|@]|9|@]|A|$]]|$1|O|3|P|5|L|7|1Y|8|@]|9|@$D|1Z|E|20|1|21]]|A|$]]|$1|Q|3|R|5|6|7|22|8|@]|9|@]|A|$]]|$1|S|3|T|5|L|7|23|8|@]|9|@]|A|$]]|$1|U|3|-4|5|6|7|24|8|@]|9|@]|A|$]]|$1|V|3|W|5|6|7|25|8|@$D|26|E|27|F|G]]|9|@$D|28|E|29|1|2A]]|A|$]]|$1|X|3|Y|5|6|7|2B|8|@$D|2C|E|2D|F|G]]|9|@$D|2E|E|2F|1|2G]]|A|$]]|$1|Z|3|10|5|6|7|2H|8|@]|9|@]|A|$]]|$1|11|3|12|5|6|7|2I|8|@]|9|@$D|2J|E|2K|1|2L]]|A|$]]|$1|13|3|-4|5|6|7|2M|8|@]|9|@]|A|$]]]|14|$15|$5|16|17|18|A|$19|1A]]|1B|$5|16|17|18|A|$19|1C]]|1D|$5|16|17|18|A|$19|1E]]|1F|$5|16|17|18|A|$19|1G]]|1H|$5|16|17|18|A|$19|1I]]|1J|$5|16|17|18|A|$19|1K]]]]

I tend to look at code from established projects with contributor policies including PEP. Here are some examples:

sklearn:

<ul>
<li>Feature selection <a href="https://github.com/scikit-learn/scikit-learn/blob/master/sklearn/feature_selection/_from_model.py" rel="nofollow noreferrer">_from_model.py</a></li>
<li><a href="https://github.com/scikit-learn/scikit-learn/blob/master/sklearn/linear_model/_logistic.py" rel="nofollow noreferrer">logistic.py</a></li>
<li>Gaussian process <a href="https://github.com/scikit-learn/scikit-learn/blob/master/sklearn/gaussian_process/_gpr.py" rel="nofollow noreferrer">_gpr.py</a></li>
</ul>

Keras: <a href="https://github.com/fchollet/keras/blob/master/keras/engine/training.py" rel="nofollow noreferrer">training.py</a>

Flask: <a href="https://github.com/pallets/flask/blob/master/src/flask/sessions.py" rel="nofollow noreferrer">sessions.py</a>

In the examples here, Keras and Flask allow lines longer than 80 characters when necessary which seems common in other projects too. scikit-lean seems to conform exactly in the examples I've seen.

I think this is quite a good example for docstring: <a href="http://sphinxcontrib-napoleon.readthedocs.org/en/latest/example_google.html" rel="nofollow noreferrer">Napoleon</a>. Though it's Google's take on docstring rather than official Python.

blocks|key|2528573|text|在Eclipse中获取PyDev，新版本包括支持，以确保您的文档是PEP8兼容的，并将在每次违规时发出警告。|type|unstyled|depth|inlineStyleRanges|entityRanges|offset|length|data|2528574|entityMap|0|LINK|mutability|MUTABLE|url|http://www.eclipse.org/|1|http://pydev.org/^0|1|7|0|B|5|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]]]]

Get <a href="http://pydev.org/" rel="nofollow">PyDev</a> in <a href="http://www.eclipse.org/" rel="nofollow">Eclipse</a>, the new version include support to make sure that your document is PEP8 compliant and will give warnings on each violation.

blocks|key|2528576|text|在插件中使用vim/emacs。我是vim用户，所以只有vim链接：|type|unstyled|depth|inlineStyleRanges|entityRanges|data|2528577|http://www.vim.org/scripts/script.php?script_id=2914|offset|length|2528578|entityMap|0|LINK|mutability|MUTABLE|url^0|0|0|1G|0|0^^$0|@$1|2|3|4|5|6|7|M|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|N|8|@]|9|@$D|O|E|P|1|Q]]|A|$]]|$1|F|3|-4|5|6|7|R|8|@]|9|@]|A|$]]]|G|$H|$5|I|J|K|A|$L|C]]]]

Use vim/emacs with plugins. I am vim user so only vim link: 

<a href="http://www.vim.org/scripts/script.php?script_id=2914" rel="nofollow">http://www.vim.org/scripts/script.php?script_id=2914</a>

I want my code to be <a href="http://www.python.org/dev/peps/pep-0008/">PEP-8</a> compliant. 
However, reading the PEP8-page everytime I forgot any of the rules is time-consuming. Much faster would be if I had a code example, which demonstrates all PEP-8 rules. 

Is there any code example out there which does exactly that?

Complete code example that demonstrates all PEP-8 rules

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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我希望我的代码是兼容的。然而，每当我忘记任何规则时，阅读PEP8页面是很耗时的。如果我有一个演示所有PEP-8规则的代码示例，速度会快得多。有没有什么代码示例可以做到这一点呢？

问演示所有PEP-8规则的完整代码示例
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