search
HomeBackend DevelopmentPython TutorialWhat is Python's naming convention? Introduction to python naming conventions

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

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
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
Merging Lists in Python: Choosing the Right MethodMerging Lists in Python: Choosing the Right MethodMay 14, 2025 am 12:11 AM

TomergelistsinPython,youcanusethe operator,extendmethod,listcomprehension,oritertools.chain,eachwithspecificadvantages:1)The operatorissimplebutlessefficientforlargelists;2)extendismemory-efficientbutmodifiestheoriginallist;3)listcomprehensionoffersf

How to concatenate two lists in python 3?How to concatenate two lists in python 3?May 14, 2025 am 12:09 AM

In Python 3, two lists can be connected through a variety of methods: 1) Use operator, which is suitable for small lists, but is inefficient for large lists; 2) Use extend method, which is suitable for large lists, with high memory efficiency, but will modify the original list; 3) Use * operator, which is suitable for merging multiple lists, without modifying the original list; 4) Use itertools.chain, which is suitable for large data sets, with high memory efficiency.

Python concatenate list stringsPython concatenate list stringsMay 14, 2025 am 12:08 AM

Using the join() method is the most efficient way to connect strings from lists in Python. 1) Use the join() method to be efficient and easy to read. 2) The cycle uses operators inefficiently for large lists. 3) The combination of list comprehension and join() is suitable for scenarios that require conversion. 4) The reduce() method is suitable for other types of reductions, but is inefficient for string concatenation. The complete sentence ends.

Python execution, what is that?Python execution, what is that?May 14, 2025 am 12:06 AM

PythonexecutionistheprocessoftransformingPythoncodeintoexecutableinstructions.1)Theinterpreterreadsthecode,convertingitintobytecode,whichthePythonVirtualMachine(PVM)executes.2)TheGlobalInterpreterLock(GIL)managesthreadexecution,potentiallylimitingmul

Python: what are the key featuresPython: what are the key featuresMay 14, 2025 am 12:02 AM

Key features of Python include: 1. The syntax is concise and easy to understand, suitable for beginners; 2. Dynamic type system, improving development speed; 3. Rich standard library, supporting multiple tasks; 4. Strong community and ecosystem, providing extensive support; 5. Interpretation, suitable for scripting and rapid prototyping; 6. Multi-paradigm support, suitable for various programming styles.

Python: compiler or Interpreter?Python: compiler or Interpreter?May 13, 2025 am 12:10 AM

Python is an interpreted language, but it also includes the compilation process. 1) Python code is first compiled into bytecode. 2) Bytecode is interpreted and executed by Python virtual machine. 3) This hybrid mechanism makes Python both flexible and efficient, but not as fast as a fully compiled language.

Python For Loop vs While Loop: When to Use Which?Python For Loop vs While Loop: When to Use Which?May 13, 2025 am 12:07 AM

Useaforloopwheniteratingoverasequenceorforaspecificnumberoftimes;useawhileloopwhencontinuinguntilaconditionismet.Forloopsareidealforknownsequences,whilewhileloopssuitsituationswithundeterminediterations.

Python loops: The most common errorsPython loops: The most common errorsMay 13, 2025 am 12:07 AM

Pythonloopscanleadtoerrorslikeinfiniteloops,modifyinglistsduringiteration,off-by-oneerrors,zero-indexingissues,andnestedloopinefficiencies.Toavoidthese:1)Use'i

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 Article

Hot Tools

Notepad++7.3.1

Notepad++7.3.1

Easy-to-use and free code editor

SecLists

SecLists

SecLists is the ultimate security tester's companion. It is a collection of various types of lists that are frequently used during security assessments, all in one place. SecLists helps make security testing more efficient and productive by conveniently providing all the lists a security tester might need. List types include usernames, passwords, URLs, fuzzing payloads, sensitive data patterns, web shells, and more. The tester can simply pull this repository onto a new test machine and he will have access to every type of list he needs.

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.

ZendStudio 13.5.1 Mac

ZendStudio 13.5.1 Mac

Powerful PHP integrated development environment

SublimeText3 Chinese version

SublimeText3 Chinese version

Chinese version, very easy to use