search
HomeBackend DevelopmentPython TutorialHow to solve the non-standard function name error in Python code?

How to solve the non-standard function name error in Python code?

Jun 25, 2023 pm 08:24 PM
rebuild codeCode inspection toolsStandard function naming

During the programming process of Python, sometimes errors with non-standard function names are found, which will bring great difficulties to the maintenance and reading of the program. This article will describe how to solve this problem, including naming conventions and code refactoring.

  1. Naming rules

In Python, there are some naming rules that can help developers write more standardized code. We can follow these rules and use a unified naming method to improve the readability and maintainability of the code.

  • Function names should be clear and descriptive
    Function names should be simple and clear, using one or more words to describe the function of the function, and abbreviations should be avoided as much as possible. For example, a function that calculates the sum of two numbers should be named add, not a or ad.
  • Function names must conform to camel case nomenclature
    In Python, camel case nomenclature is usually used to define function names. That is, the first letter of the function is lowercase, and the first letter of the following words is capitalized. For example, a function that calculates the average of two numbers should be named calculateAverage.
  • It is not recommended to use an underscore to start a name
    In Python, a function name starting with a single underscore indicates that the function is a private function. In general, avoid using such function names unless they are really only used inside the class.
  • Name should express the intention
    The function name should be able to express the intention of the function. For example, a function that reads data from the database should be named: get_data_from_database().
  1. Code Refactoring

If you have written the code but find that the function name is not standardized, you can choose to refactor the code. Refactoring is the process of rewriting or restructuring code to improve its quality and readability while keeping its functionality intact.

  • Rename function
    For existing functions, you can rename the function and modify it according to the above naming rules. Make sure the new name more clearly describes the function's functionality, making the code easier to read and reducing the chance of errors.
  • Split function
    If the function of a function is too complex, consider splitting it into multiple simple functions. Each function has its own functionality and is reusable.
  • Encapsulation function
    The longer a function is, the more difficult it is to maintain. Therefore, encapsulating a piece of code in a function can make the code clearer, easier to maintain and reuse.

Summary

Reasonable naming conventions and reasonable code refactoring can improve code readability and maintainability, thereby improving code quality and efficiency. For those non-standard function names, we can use the above method to improve them and get better code.

The above is the detailed content of How to solve the non-standard function name error in Python code?. For more information, please follow other related articles on the PHP Chinese website!

Statement
The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn
Python vs. C  : Understanding the Key DifferencesPython vs. C : Understanding the Key DifferencesApr 21, 2025 am 12:18 AM

Python and C each have their own advantages, and the choice should be based on project requirements. 1) Python is suitable for rapid development and data processing due to its concise syntax and dynamic typing. 2)C is suitable for high performance and system programming due to its static typing and manual memory management.

Python vs. C  : Which Language to Choose for Your Project?Python vs. C : Which Language to Choose for Your Project?Apr 21, 2025 am 12:17 AM

Choosing Python or C depends on project requirements: 1) If you need rapid development, data processing and prototype design, choose Python; 2) If you need high performance, low latency and close hardware control, choose C.

Reaching Your Python Goals: The Power of 2 Hours DailyReaching Your Python Goals: The Power of 2 Hours DailyApr 20, 2025 am 12:21 AM

By investing 2 hours of Python learning every day, you can effectively improve your programming skills. 1. Learn new knowledge: read documents or watch tutorials. 2. Practice: Write code and complete exercises. 3. Review: Consolidate the content you have learned. 4. Project practice: Apply what you have learned in actual projects. Such a structured learning plan can help you systematically master Python and achieve career goals.

Maximizing 2 Hours: Effective Python Learning StrategiesMaximizing 2 Hours: Effective Python Learning StrategiesApr 20, 2025 am 12:20 AM

Methods to learn Python efficiently within two hours include: 1. Review the basic knowledge and ensure that you are familiar with Python installation and basic syntax; 2. Understand the core concepts of Python, such as variables, lists, functions, etc.; 3. Master basic and advanced usage by using examples; 4. Learn common errors and debugging techniques; 5. Apply performance optimization and best practices, such as using list comprehensions and following the PEP8 style guide.

Choosing Between Python and C  : The Right Language for YouChoosing Between Python and C : The Right Language for YouApr 20, 2025 am 12:20 AM

Python is suitable for beginners and data science, and C is suitable for system programming and game development. 1. Python is simple and easy to use, suitable for data science and web development. 2.C provides high performance and control, suitable for game development and system programming. The choice should be based on project needs and personal interests.

Python vs. C  : A Comparative Analysis of Programming LanguagesPython vs. C : A Comparative Analysis of Programming LanguagesApr 20, 2025 am 12:14 AM

Python is more suitable for data science and rapid development, while C is more suitable for high performance and system programming. 1. Python syntax is concise and easy to learn, suitable for data processing and scientific computing. 2.C has complex syntax but excellent performance and is often used in game development and system programming.

2 Hours a Day: The Potential of Python Learning2 Hours a Day: The Potential of Python LearningApr 20, 2025 am 12:14 AM

It is feasible to invest two hours a day to learn Python. 1. Learn new knowledge: Learn new concepts in one hour, such as lists and dictionaries. 2. Practice and exercises: Use one hour to perform programming exercises, such as writing small programs. Through reasonable planning and perseverance, you can master the core concepts of Python in a short time.

Python vs. C  : Learning Curves and Ease of UsePython vs. C : Learning Curves and Ease of UseApr 19, 2025 am 12:20 AM

Python is easier to learn and use, while C is more powerful but complex. 1. Python syntax is concise and suitable for beginners. Dynamic typing and automatic memory management make it easy to use, but may cause runtime errors. 2.C provides low-level control and advanced features, suitable for high-performance applications, but has a high learning threshold and requires manual memory and type safety management.

See all articles

Hot AI Tools

Undresser.AI Undress

Undresser.AI Undress

AI-powered app for creating realistic nude photos

AI Clothes Remover

AI Clothes Remover

Online AI tool for removing clothes from photos.

Undress AI Tool

Undress AI Tool

Undress images for free

Clothoff.io

Clothoff.io

AI clothes remover

Video Face Swap

Video Face Swap

Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Tools

MantisBT

MantisBT

Mantis is an easy-to-deploy web-based defect tracking tool designed to aid in product defect tracking. It requires PHP, MySQL and a web server. Check out our demo and hosting services.

Dreamweaver Mac version

Dreamweaver Mac version

Visual web development tools

SublimeText3 Mac version

SublimeText3 Mac version

God-level code editing software (SublimeText3)

PhpStorm Mac version

PhpStorm Mac version

The latest (2018.2.1) professional PHP integrated development tool

WebStorm Mac version

WebStorm Mac version

Useful JavaScript development tools