Python学习的思维导图
2016-05-10 20:35
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人生苦短,我用Python
如果有其他的产品狗向我咨询应该去学习什么样的编程语言,我会毫不犹豫地告诉他,学Python。Python语法简单、用途广泛、第三方包非常丰富,这些都是选择Python的理由。然而,对我来说,最大的理由是:短。实现同样的功能,Java需要很多行,Python可能只需要几行就解决了,对于我这种只有比较少的时间编写程序的人来说,尤为重要。『短』意味着多使用第三方的库,尽量不要自己造轮子;同时也意味着看别人的代码会非常愉快。
Python的设计哲学:
Beautiful is better than ugly.
Explicit is better than implicit.
Simple is better than complex.
Complex is better than complicated.
Flat is better than nested.
Sparse is better than dense.
Readability counts.
Special cases aren’t special enough to break the rules.
Although practicality beats purity.
Errors should never pass silently.
Unless explicitly silenced.
In the face of ambiguity, refuse the temptation to guess.
There should be one– and preferably only one –obvious way to do it.
Although that way may not be obvious at first unless you’re Dutch.
Now is better than never.
Although never is often better than right now.
If the implementation is hard to explain, it’s a bad idea.
If the implementation is easy to explain, it may be a good idea.
Namespaces are one honking great idea – let’s do more of those!
真的非常赞同Python的设计哲学。编程语言甚至包括计算机、网络、IDE本身只是一种工具,我们需要工具加快我们的效率,但是不能被工具绑架,我们最主要的精力要放在我们需要解决的问题上。
好了,不说其他的,附上一张我复习Python的思维导图,希望对其他刚刚学习Python的人有用。
如果有其他的产品狗向我咨询应该去学习什么样的编程语言,我会毫不犹豫地告诉他,学Python。Python语法简单、用途广泛、第三方包非常丰富,这些都是选择Python的理由。然而,对我来说,最大的理由是:短。实现同样的功能,Java需要很多行,Python可能只需要几行就解决了,对于我这种只有比较少的时间编写程序的人来说,尤为重要。『短』意味着多使用第三方的库,尽量不要自己造轮子;同时也意味着看别人的代码会非常愉快。
Python的设计哲学:
Beautiful is better than ugly.
Explicit is better than implicit.
Simple is better than complex.
Complex is better than complicated.
Flat is better than nested.
Sparse is better than dense.
Readability counts.
Special cases aren’t special enough to break the rules.
Although practicality beats purity.
Errors should never pass silently.
Unless explicitly silenced.
In the face of ambiguity, refuse the temptation to guess.
There should be one– and preferably only one –obvious way to do it.
Although that way may not be obvious at first unless you’re Dutch.
Now is better than never.
Although never is often better than right now.
If the implementation is hard to explain, it’s a bad idea.
If the implementation is easy to explain, it may be a good idea.
Namespaces are one honking great idea – let’s do more of those!
真的非常赞同Python的设计哲学。编程语言甚至包括计算机、网络、IDE本身只是一种工具,我们需要工具加快我们的效率,但是不能被工具绑架,我们最主要的精力要放在我们需要解决的问题上。
好了,不说其他的,附上一张我复习Python的思维导图,希望对其他刚刚学习Python的人有用。
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