How to fix poor readability errors in Python code?

Python is a classic and concise language, but in practical applications, we often encounter the problem of poor code readability. The readability of the code determines the maintainability and reconfigurability of the code, so it is very important to solve the poor readability errors of Python code. This article will explain how to solve poor readability errors in Python code from the following aspects.

1. Naming convention

Reasonable naming convention is the basis for code readability. Python has a strict naming convention PEP8, and it is recommended to write code following this convention. Specifically, the following rules should be adopted:

1. Be case-sensitive
2. Use underline nomenclature (that is, letters are separated by underscores)
3. Choose variable names reasonably , function names and other identifiers
4. Avoid using single character names and try to use meaningful names.

2. Code indentation

Python’s indentation is part of the grammar. Correct indentation can make the program easier to read. Python recommends using 4 spaces to indent code. To avoid errors, avoid using tabs for indentation. In addition, correct indentation can make the logic of the code clearer and prevent the code from being confusing and difficult to read.

3. Comments

Comments are an important part of the code. They can describe the purpose, behavior and implementation details of the code, helping programmers better understand the code. When writing code, you should develop good commenting habits and comment out key business logic and important code blocks in concise and clear language. Specifically, it should be noted:

1. The purpose of classes, functions, and methods
2. Implementation details, internal logic, and variable meanings
3. Parameters and sums of functions and methods Return value

4. Modular programming

Modular programming is a way of organizing code into modules, which can make the code more specific and clear. Each file in Python is a module, and different corresponding modules can provide different functions. It can also avoid the situation where a single code file is too large and improve the readability of the code. When writing code, you can write the code of a specific module as a function or class, and then call it in other files to avoid code duplication and low maintainability.

5. Code Refactoring

Code refactoring is one of the important methods to improve code readability. When we first start writing code, we may pay more attention to function implementation and not pay attention to code organization and readability. Therefore, we should regularly refactor the code to optimize and organize the code to improve readability. When refactoring, you should pay attention to the following points:

1. Normalization of naming
2. Code segmentation based on business logic
3. Make the code logic clearer and easier to understand
4. Comment the code to be optimized and optimize the readability of the code

6. Use tools

The problem of poor code readability can be assisted by using some tools solve. For example, you can use integrated development tools such as PyCharm, which can automatically generate code, handle issues such as splitting and naming, and can automatically handle code indentation. At the same time, you can also use tools such as flake8 and pylint to check code specifications and ensure uniform code style from the grammatical level.

In short, to improve the readability of Python code, you need to follow the PEP8 specification, correct indentation, proper comments, modular programming and code refactoring, especially naming conventions. In addition, using tools can help us check and modify code more quickly, greatly reducing work time.

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