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Naming Conventions and Best Practices for Class and Object Names in Python

Updated: at 04:45 AM

Proper naming conventions and best practices for classes and objects are essential for writing readable, maintainable, and Pythonic code. Though Python is a flexible language without strict naming rules, adhering to a consistent naming style will make your code easier to understand and use by others. This guide covers the key naming conventions and best practices for class and object names in Python.

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Overview of Naming Conventions in Python

Python’s PEP 8 Style Guide provides general naming conventions and best practices for Python code:

Additionally, these key points apply specifically for naming classes and objects in Python:


# Class name uses CapWords convention
class DataFrame:

# Object name uses lowercase_underscores
data_frame = DataFrame()

Let’s examine proper naming conventions and best practices for classes and objects in more detail.

Class Names

Class names should be descriptive and communicate the design’s intent and purpose clearly. Here are key guidelines for Python class naming:


# Well-named classes

# Describes what it contains
class Student:

# Purpose is clear
class GradeCalculator:

# Adheres to base class naming convention
class AbstractStudentRecord:

Object and Instance Names


# Objects use lowercase_underscores per PEP 8

student_record = StudentRecord()

grade_calc = GradeCalculator()

html_parser = HtmlParser()

Naming Methods

Method names follow the same conventions as functions in Python:

class GradeCalculator:

    def calculate_student_average(student_grades):
        # calculate average

Naming Private Attributes and Methods

Examples of Well-Named Classes and Objects

Here are some examples of classes and objects that follow best practices for naming in Python:

# Classes

class GradeReportGenerator:

class StudentTranscript:

class UniversityRegistrar:

# Objects

student_grade_report = GradeReportGenerator()

transcript = StudentTranscript()

registrar = UniversityRegistrar()

The class and object names clearly convey their purpose and adhere to naming conventions.

Common Naming Convention Mistakes

Here are some common naming convention mistakes to avoid:

Style Guide Consistency

While Python itself doesn’t enforce strict naming rules, it’s important to remain consistent in naming conventions across a codebase. Define a style guide for your project or organization and stick to it. Some options include:

Using linters like Pylint can help enforce naming conventions and style consistency in a project.


Proper naming conventions are important for writing Python code that is easy to understand and maintain. While Python itself is flexible with naming, sticking to the standard CapWords for classes, lowercase_underscores for objects, and descriptive names will make your Python codebase more readable and Pythonic. Consistency in naming across a codebase is key. Defining and adopting a style guide for your project will enable consistency and best practices.