2018-04-14-python

Source: Internet
Author: User

Python3--function
    • Functions are well-organized, reusable pieces of code that are used to implement a single, or associated function.
    • Functions can improve the modularity of the application, and the reuse of the code. You already know that Python provides a number of built-in functions, such as print (). But you can also create your own functions, which are called user-defined functions.
Define a function

You can define a function that you want to function, and here are the simple rules:

    • The function code block begins with a def keyword followed by the function identifier name and parentheses ().
    • Any incoming parameters and arguments must be placed in the middle of the parentheses, and the parentheses can be used to define the parameters.
    • The first line of the function statement can optionally use the document string-for storing the function description.
    • The function contents begin with a colon and are indented.
    • return [expression] ends the function, optionally returning a value to the caller. Return without an expression is equivalent to returning None.
      def function name (argument list):    function Body

      Instance

      # a function that asks for two number and def Add (x, y):     return x + y#  call function print(Add (10, 10))
anonymous functions

Python uses lambda to create anonymous functions.

Anonymity means that a function is no longer defined in a standard form such as a DEF statement.

    • Lambda is just an expression, and the function body is much simpler than def.
    • The body of a lambda is an expression, not a block of code. Only a finite amount of logic can be encapsulated in a lambda expression.
    • The lambda function has its own namespace and cannot access parameters outside its own argument list or in the global namespace.
    • Although the lambda function appears to be only a single line, it is not equivalent to a C or C + + inline function, which is designed to call small functions without consuming stack memory to increase operational efficiency.
      Lambda [Arg1 [, Arg2,..... argn]]:expression

      Instance

      Lambda x, y:x+yprint(Add (10,10))

2018-04-14-python

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