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Python is a high-level programming language that is easy to learn, fast to develop and powerful, so it is becoming more and more popular among developers. However, when writing Python code, we often encounter errors of excessive complexity, which makes the code difficult to understand and maintain. In this article, we will introduce some methods to solve the error of excessive complexity of Python code.
When writing Python code, we should try to use functions and classes to organize the code. Using functions and classes can make our code more organized and easier to extend. This code organization structure can avoid large and complex code blocks, making the code easier to understand and maintain.
In Python, modules are a way of organizing code. We can divide the code into different modules so that each module contains only one or a few related tasks. Such modular programming can make the code easier to understand and collaborate on, and also helps avoid code duplication.
Python is a scripting language that supports loops and nesting, which makes it very easy to write looping and nested code . However, when writing code, we should minimize the use of loops and nesting as they can cause the code to become confusing and difficult to understand.
When writing code, there are some norms and best practices we should follow. These specifications and best practices can make our code clearer and consistent, easier to understand and maintain. For example, we should avoid using magic numbers, use comments when possible, and use meaningful variable names in our code.
Refactoring is the process of improving existing code. In Python, refactoring can help us simplify and optimize the code, making the code clearer and easier to maintain. Refactoring can include code refactoring, data structure refactoring, algorithm refactoring, etc.
In short, excessive code complexity is a common problem in Python programming. By following the best practices mentioned above, we can reduce code complexity and make it easier to understand and maintain.
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