什么让 Python 变得很酷?
pythonserver side programmingprogramming更新于 2025/10/26 3:56:17
在本文中，我们将了解 Python 的所有特性都很酷，并且与其他语言不同。
>>>import this
输出
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. The 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!
一行代码即可交换两个变量
我们可以用单个语句同时为多个变量赋值，如下所示
示例
a = 201
b = 786
print("Before swapping value of a ="+str(a)+" and b = "+str(b))
#Before swapping value
a, b = b, a
print("After swapping value of a ="+str(a)+" and b = "+str(b))
#After swapping value
输出
Before swapping value of a =201 and b = 786 After swapping value of a =786 and b = 201
枚举类型
枚举类型用于遍历列表和类似类型，而无需实际了解它们的长度。
示例
mylist = ['t','u','t','o','r','i','a','l'] for i, value in enumerate(mylist): print( i, ': ', value)
输出
0 : t 1 : u 2 : t 3 : o 4 : r 5 : i 6 : a 7 : l
Zip 方法
通过使用 zip 方法，我们可以同时遍历多个列表，如下面的代码所示。
示例
mylist1 = ['t','u','t','o','r','i','a','l'] mylist2 = ['p','o','i','n','t'] for i,j in zip(mylist1,mylist2): print( i, ':', j)
输出
t : p u : o t : i o : n r : t
反转列表
通过使用内置的 reversed 方法 ()，我们可以直接获得反转列表，而无需任何循环构造
示例
list_inp = ['t','u','t','o','r','i','a','l'] print(list(reversed(list_inp)))
输出
['l', 'a', 'i', 'r', 'o', 't', 'u', 't']
使用交互式"_"运算符。
此运算符在命令行上用于打印或显示上一次执行的操作的输出。
>>> 12 + 12 24 >>> _ 24 >>> print(_) 24
众所周知，Python 中不需要数据类型声明，我们可以在程序中多次更改变量的数据类型。
结论
在本文中，我们了解了 Python 中存在的所有特性，这些特性使其对程序员来说很酷、更有吸引力。
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有用资源
python 参考教程 - 该教程包含有关 python 的更多信息:https://www.cainiaomax.com/python/
