Home Backend Development Python Tutorial What is Python's naming convention? Introduction to python naming conventions

What is Python's naming convention? Introduction to python naming conventions

Sep 20, 2018 pm 03:58 PM
python naming convention

This article brings you what is the naming convention of Python? The introduction to python naming conventions has certain reference value. Friends in need can refer to it. I hope it will be helpful to you.

File name
All lowercase, underscores may be used

Package

should be a short, lowercase name. Underlining can be added if it improves readability. Such as mypackage.

Module

The same specification as the package. Such as mymodule.

Class

Always capitalize the first letter of a word string. Such as MyClass. Inner classes can use extra leading underscores.

Function & Method

Function names should be lowercase, and underlined style words can be used to increase readability. Such as: myfunction, my_example_function.

*Note*: Mixed case is only allowed where this style is already dominant, in order to maintain backward compatibility.

Parameters of functions and methods

Always use "self" as the first parameter of instance methods. Always use "cls" as the first parameter of a class method.
If a function parameter name conflicts with a reserved keyword, it is usually better to use a suffixing underscore than to use an abbreviation or strange spelling.

Global variables

For the from M import * import statement, if you want to prevent global variables from being imported into the module, you can use the old specification and add a leading underscore to the global variable.
*Note*: Avoid using global variables

Variables

Variable names are all lowercase, with underscores connecting each word. For example, color = WHITE, this_is_a_variable = 1

*Note*:
1. Whether it is a class member variable or a global variable, do not use the m or g prefix.
2. Private class members are identified with a single underscore prefix, define more public members and less private members.
3. Variable names should not carry type information because Python is a dynamically typed language. Such as iValue, names_list, dict_obj, etc. are all bad names.

Constant

Constant names are all capital letters, with underscores connecting each word such as MAX_OVERFLOW, TOTAL.

Exceptions

are suffixed with "Error".

Abbreviations

You should try to use fully spelled words when naming. There are two types of abbreviations:
1. Commonly used abbreviations, such as XML, ID, etc., should also be used when naming. Capitalize only the first letter, such as XmlParser.
2. If the name contains long words, abbreviate a certain word. In this case, the conventional abbreviation should be used.

For example:
function is abbreviated as fn
text, abbreviated as txt
object, abbreviated as obj
count, abbreviated as cnt
number, abbreviated as num, etc.

Leading and suffixed underscore

A leading underscore: indicates non-public.
A suffix underscore: avoid keyword conflicts.
Two leading underscores: Used when naming a class attribute causes a name conflict.
Two leading and suffixed underscores: "magic" (with special use) objects or attributes, such as __init__ or __file__. Never create such names, just use them.

*NOTE*: There is some controversy regarding the use of underscores.

Specific naming method

Mainly refers to the system reserved word naming method in the form of __xxx__. This kind of naming can also be used in projects. Its significance is that variables in this form are read-only. Try not to overload class member functions in this form. Such as

class Base(object):
def __init__(self, id, parent = None):
self.__id__ = id
self.__parent__ = parent
def __message__(self, msgid):
# …略
Copy after login

where __id__, __parent__ and __message__ all use system reserved word nomenclature.

Attachment: Google Python naming convention

module_name, package_name, ClassName, method_name, ExceptionName, function_name, GLOBAL_VAR_NAME, instance_var_name, function_parameter_name, local_var_name.

The above is the detailed content of What is Python's naming convention? Introduction to python naming conventions. For more information, please follow other related articles on the PHP Chinese website!

Statement of this Website
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

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 Article

Roblox: Bubble Gum Simulator Infinity - How To Get And Use Royal Keys
3 weeks ago By 尊渡假赌尊渡假赌尊渡假赌
Mandragora: Whispers Of The Witch Tree - How To Unlock The Grappling Hook
3 weeks ago By 尊渡假赌尊渡假赌尊渡假赌
Nordhold: Fusion System, Explained
3 weeks ago By 尊渡假赌尊渡假赌尊渡假赌

Hot Tools

Notepad++7.3.1

Notepad++7.3.1

Easy-to-use and free code editor

SublimeText3 Chinese version

SublimeText3 Chinese version

Chinese version, very easy to use

Zend Studio 13.0.1

Zend Studio 13.0.1

Powerful PHP integrated development environment

Dreamweaver CS6

Dreamweaver CS6

Visual web development tools

SublimeText3 Mac version

SublimeText3 Mac version

God-level code editing software (SublimeText3)

Hot Topics

Java Tutorial
1669
14
PHP Tutorial
1273
29
C# Tutorial
1256
24
Python vs. C  : Learning Curves and Ease of Use Python vs. C : Learning Curves and Ease of Use Apr 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.

Python and Time: Making the Most of Your Study Time Python and Time: Making the Most of Your Study Time Apr 14, 2025 am 12:02 AM

To maximize the efficiency of learning Python in a limited time, you can use Python's datetime, time, and schedule modules. 1. The datetime module is used to record and plan learning time. 2. The time module helps to set study and rest time. 3. The schedule module automatically arranges weekly learning tasks.

Python vs. C  : Exploring Performance and Efficiency Python vs. C : Exploring Performance and Efficiency Apr 18, 2025 am 12:20 AM

Python is better than C in development efficiency, but C is higher in execution performance. 1. Python's concise syntax and rich libraries improve development efficiency. 2.C's compilation-type characteristics and hardware control improve execution performance. When making a choice, you need to weigh the development speed and execution efficiency based on project needs.

Learning Python: Is 2 Hours of Daily Study Sufficient? Learning Python: Is 2 Hours of Daily Study Sufficient? Apr 18, 2025 am 12:22 AM

Is it enough to learn Python for two hours a day? It depends on your goals and learning methods. 1) Develop a clear learning plan, 2) Select appropriate learning resources and methods, 3) Practice and review and consolidate hands-on practice and review and consolidate, and you can gradually master the basic knowledge and advanced functions of Python during this period.

Which is part of the Python standard library: lists or arrays? Which is part of the Python standard library: lists or arrays? Apr 27, 2025 am 12:03 AM

Pythonlistsarepartofthestandardlibrary,whilearraysarenot.Listsarebuilt-in,versatile,andusedforstoringcollections,whereasarraysareprovidedbythearraymoduleandlesscommonlyusedduetolimitedfunctionality.

Python: Automation, Scripting, and Task Management Python: Automation, Scripting, and Task Management Apr 16, 2025 am 12:14 AM

Python excels in automation, scripting, and task management. 1) Automation: File backup is realized through standard libraries such as os and shutil. 2) Script writing: Use the psutil library to monitor system resources. 3) Task management: Use the schedule library to schedule tasks. Python's ease of use and rich library support makes it the preferred tool in these areas.

Python vs. C  : Understanding the Key Differences Python vs. C : Understanding the Key Differences Apr 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 for Web Development: Key Applications Python for Web Development: Key Applications Apr 18, 2025 am 12:20 AM

Key applications of Python in web development include the use of Django and Flask frameworks, API development, data analysis and visualization, machine learning and AI, and performance optimization. 1. Django and Flask framework: Django is suitable for rapid development of complex applications, and Flask is suitable for small or highly customized projects. 2. API development: Use Flask or DjangoRESTFramework to build RESTfulAPI. 3. Data analysis and visualization: Use Python to process data and display it through the web interface. 4. Machine Learning and AI: Python is used to build intelligent web applications. 5. Performance optimization: optimized through asynchronous programming, caching and code

See all articles