Do you want to be a Python expert ? 前言

Do you want to be a Python expert ?

https://github.com/ltoddy/Pyt...

不少时候,有些人在介绍 Python 的时候会提到 The Zen of Python :

>>> import this
The Zen of Python, by Tim Peters

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!

可是我不知道你须要多久才能作到 The Zen of Python 中说的.

Python 真的优雅吗, Python 真的简洁吗, 这是固然, 否则 The Zen of Python 怎么会添加到标准库中去.

不过在此以前,你须要更加的学习(毕竟不是一上来就什么都会的), 明白 Python 的风格, 或者说须要本身不断锻炼, 让本身写出来的 Python 代码更加的 pythonic.

在这里, 我不会讲述相似:

a, b = b, a

l = [x * 2 for x in range(10)]

相似这种你本就应该在初学 Python 就应该熟练掌握的东西.

我更想讲述的是:

• data model class (dunder methods, protocol).
• metaclass (Base/Derive class)
• Decorators
• Generators
• Context Managers

由于以上的一些feature确实可让你的代码更加pythonic, 并且也是很是重要的.

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A problem

在很早很早以前,曾经看到一个群友问了一个问题:

有两个list, 好比: one = [1, 2, 3], other = [2, 3, 4]

他想要获得这样的结果,把这两个相加获得: [3, 5, 7], 也就是对应下标的元素相加.

我当时想都没想就回了一句: return [one[i] + other[i] for i in range(len())]

看上去不错,是吗?

固然不是. 若是这两个list不相等怎么办?

而后我又给了一个方案: return list(map(lambda x, y: x + y, one, other))

不过, 这样又很差了, 若是一个list长,一个list短,这个样子写,长的那个list多出来的数据就会被丢掉了.

因此我又思考了一下, 从新给出了最后结果: return list(starmap(lambda x, y: x + y, zip_longest(one, ther, fillvalue=0)))

你能想到我所说的最后一种方案吗?

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What is Python ?

Python 究竟是一种什么样的语言, 说真的, 很难给 Python 下一个定义,由于它的范式实在太多:

• 面向对象
• 过程式
• 面向协议
• 原型
• 也支持函数式的feature

Python is an interpreted, interactive, object-oriented programming language. (来自Python docs)

若是你真正理解这些 feature 是什么, 那么很是显然的是, 来告诉我: why and when you use it. (毕竟我更倾向于实用, 我不是学院派)

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固然,在最后的时候,我也会告诉一些学习途径, 好比看什么书能够最快的提升你的能力, 也好比你应该从哪些地方去获取你须要掌握的知识.