You can reuse variable names by simply assigning a new value to them : >>> x = 100 >>> print(x) 100 >>> x = "Python" >>> print(x) Python >>> Other ways to define value Python allows formatting of large numbers and decimal values for better readability. ...
# define a Fib class class Fib(object): def __init__(self, max): self.max = max self.n, self.a, self.b = 0, 0, 1 def __iter__(self): return self def __next__(self): if self.n < self.max: r = self.b self.a, self.b = self.b, self.a + self.b self.n = s...
def是定义函数的关键词,这个简写来自英文单词define 函数名后面是圆括号,括号里面,可以有参数列表,也可以没有参数 千万不要忘记了括号后面的冒号 函数体(语句块),相对于def缩进,按照python习惯,缩进四个空格 函数命名 Python对命名的一般要求: 文件名:全小写,可使用下划线 函数名:小写,可以用下划线风格单词以增加可读...
# define global variableglobal_var =10defmy_function():# define local variablelocal_var =20# modify global variable valueglobalglobal_var global_var =30# print global variable valueprint(global_var)# call the function and modify the global variablemy_function()# print the modified value of th...
def是定义函数的关键词,这个简写来自英文单词define 函数名后面是圆括号,括号里面,可以有参数列表,也可以没有参数 千万不要忘记了括号后面的冒号 函数体(语句块),相对于def缩进,按照python习惯,缩进四个空格 函数命名 Python对命名的一般要求: 文件名:全小写,可使用下划线 ...
we have a technique calledMnemonic(记忆的).The idea is when you choose a variable name,you should choose a variable name to be sensible and Python doesnt care whether you choose mnemonic variable names or not. Assignment Statements: An assignment statement consists of an expression on the right...
第1行:def的意思是定义(define),math是【函数名】(自己取的),再搭配一个英文括号和冒号,括号里面的x是参数(参数名也是自己取)。 第2行:def下一行开始缩进的代码就是函数要实现的功能,也叫【函数体】。这里的功能就是:根据x计算出一个值y 第3行:return语句是返回的意思,可以指定函数执行完毕后最终会返回什么...
Note: Python is atype-inferredlanguage, so you don't have to explicitly define the variable type. It automatically knows thatprogramiz.prois a string and declares thesite_namevariable as a string. Changing the Value of a Variable in Python ...
# define a function named add_two # the functiontakes an input int as its argument defadd_two(a):# the function isto add 2 to the input argument b = a +2 # the functionreturns the sum as output return b 在上一部分中，我们提到Python数据对象具有的一些常见功能。下面的示例将向你展示...
2. Type hints and type checking: Python 3.9 enhances the support for type hints, which allow developers to add type annotations to function signatures and variable declarations. The new version introduces the `TypeGuard` type that makes it easier to check whether a value matches a specific type...