How to solve Python code not grouped by function error?

In the process of learning and using the Python programming language, many people will encounter a problem, that is, the code is not grouped according to functions, resulting in a confusing program structure that is difficult to maintain and expand. To solve this problem, this article will explore some methods to help you better organize Python code.

1. Define a main function

In Python, we can define a main function, which is the core function of the entire program, and all other functions or modules are for This function serves, as shown below:

def main():
    # 主函数实现

The advantage of this is that it can make the code semantics clearer, making it easier for programmers to understand and modify the code. At the same time, this is also a programming specification of Python, which conforms to coding style habits.

2. Modular programming

In Python, you can use modular programming to organize programs and encapsulate related functional modules into one module. They are independent of each other and call each other to realize the separation and reuse of functions. For example:

# 文件名： module1.py
def func1():
    # 模块功能1

# 文件名： module2.py
def func2():
    # 模块功能2

# 文件名： main.py
from module1 import func1
from module2 import func2

def main():
    # 主函数实现

if __name__ == '__main__':
    main()

In the above example, we used three files, namely module 1, module 2 and the main program file. Through the import statement, the main program file can reference the functions in the two modules and call them in the main function. This approach improves code reusability and readability.

3. Try to use global variables for variables

In Python, using global variables can improve the reuse period of the program, and at the same time, it is simpler and clearer to organize the code, and there will be no Missing code problem. For example:

# 定义全局变量
global_var1 = 'global variable 1'

def main():
    # 使用全局变量
    global global_var1
    print(global_var1)

In the above example, a global variable global_var1 is defined, which can be used in the main program and does not need to be passed, which will make the code simpler and more convenient.

4. Standardization of comments and documentation

In order to better organize code in Python programming, comments and documentation are important steps. Comments can help programmers understand the logic and functionality of the code, and documentation can make the code more readable and maintainable. The Python community has provided many standardized comments and documentation rules. It is recommended that everyone write comments and documents according to these rules, for example:

def func1(param1: str, param2: int) -> bool:
    """
    Function explanation lines with a maximum width of 72 characters.

    :param param1: description.
    :param param2: description.
    :return: bool. Explanation of the return value.
    """

This method standardizes the comments and documentation of Python code and reduces the maintenance cost of the code.

5. Using object-oriented programming

Python is an object-oriented programming language. Using the object-oriented approach can better organize code and achieve functional modularization and Reuse. The core of object-oriented programming is to bundle data and methods together to form a class, and implement each functional module of the program on the basis of the class.

class MyClass:
    def __init__(self, attribute1, attribute2):
        self.attribute1 = attribute1
        self.attribute2 = attribute2

    def method1(self):
        # 实现类的方法1

    def method2(self):
        # 实现类的方法2

def main():
    # 主函数实现

if __name__ == '__main__':
    main()

In the above code, we defined a class named MyClass and called it in the main function. It can be seen that the function of the program can be divided into modules using object-oriented programming. The code Clearer and easier to maintain.

In short, it is a common problem that Python code is not grouped according to functions, but this problem can be solved by the above method. Using modular programming, defining main functions, using global variables, standardized comments and documentation, and object-oriented programming can better organize Python code, improve code readability and maintainability, and greatly improve program development efficiency. .

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