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HomeBackend DevelopmentPython TutorialWhat are the grammatical structures of python?

Python has a clear syntax structure, based on assignment statements, control flow structures, functions, classes and modules: assignment statement: variable name = value control flow: if, for, while, break, continue function: def function Name (parameter): function body class: class class name: class attribute, method module: import module name as alias

What are the grammatical structures of python?

Python syntax structure

Python is an easy-to-learn and powerful programming language with a clear and concise syntax structure. The following is a list of the most common syntax structures in Python:

1. Assignment statement

The assignment statement is used to store a value into a variable. The syntax is:

<code>变量名 = 值</code>

2. Control flow

The control flow structure determines the order in which the code is executed. The following are some common control flow structures:

  • If statement: is used to execute different blocks of code based on conditions. The syntax is:
<code>if 条件:
    代码块 1
else:
    代码块 2</code>
  • For loop: is used to repeatedly execute a code block a certain number of times. The syntax is:
<code>for 变量名 in 序列:
    代码块</code>
  • While loop: is used to repeatedly execute a block of code until the condition is met. The syntax is:
<code>while 条件:
    代码块</code>
  • Break statement: is used to break out of loops or statements. The syntax is:
<code>break</code>
  • Continue statement: is used to skip the current iteration of the loop and continue with the next iteration. The syntax is:
<code>continue</code>

3. Function

Function is used to group code and achieve reusability. The syntax is:

<code>def 函数名(参数):
    函数体</code>

4. Class

Class is used to create custom objects and types. The syntax is:

<code>class 类名:
    类属性
    方法
</code>

5. Module

Modules are used to organize code and achieve code reuse. The syntax is:

<code>导入 模块名 as 别名</code>

These are the most common syntax structures in Python. By understanding and applying these constructs, developers can write Python code that is clear, maintainable, and efficient.

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