How Python Object and Class Attribute Work

Ezekiel A. Pius
3 min readMar 17, 2023

Python is an object-oriented programming language and as such it makes use of objects, which are instances of classes, to represent and manipulate data. Objects can have attributes, which are pieces of data that are associated with them. These attributes can be either class attributes or instance attributes, depending on how they are defined.

Class attribute: This is an attribute that is associated with a class, rather than with an instance of the class. This means that all instances of the class will share the same value for the attribute. Class attributes are defined within the class definition, but outside of any methods or functions.

Here is an example of a class with a class attribute:

class buildings:
type = 'mud building'

def __init__(self, name, age):
self.name = name
self.age = age

In this example, the type attribute is a class attribute. It is associated with the buildings class, rather than with any particular instance of the class. This means that all instances of the buildings class will have the same species value, which is ‘mud building’.

Instance attribute: this is an attribute that is associated with a particular instance of a class. This means that each instance of the class can have a different value for the attribute. Instance attributes are defined within the class methods or the class constructor (__init__).

Here is an example of a class with an instance attribute:

class Car:
def __init__(self, make, model, year):
self.make = make
self.model = model
self.year = year

There are several ways to create object and class attributes in Python. Here are some of the most common ways:

  1. Object attributes can be created by assigning values to instance variables within the class constructor or methods.
  2. Class attributes can be created by assigning values to class variables within the class definition.
  3. Both object and class attributes can be created dynamically at runtime using the setattr function.

In python, the way to create object and class attributes is to define them explicitly within the class definition. This makes the code more readable and helps to avoid errors.

The main difference between class and instance attributes is that class attributes are associated with the class itself, while instance attributes are associated with individual instances of the class. Class attributes are shared by all instances of the class, while instance attributes are unique to each instance.

The advantages of class attributes are that they can be used to store data that is common to all instances of the class, and they can be accessed without having to create an instance of the class. The disadvantages of class attributes are that they can lead to unexpected behavior if they are modified dynamically, and they can make the code harder to read and understand.

The advantages of instance attributes are that they allow each instance of the class to have its own unique data, and they are less prone to unexpected behavior than class attributes. The disadvantages of instance attributes are that they require more memory than class attributes, and they can make the code longer and more verbose.

Python deals with object and class attributes using the __dict__ attribute, which is a dictionary that contains all the object or class attributes defined for an instance or a class, respectively. When a new attribute is assigned to an instance or a class, it is added to the __dict__ dictionary. When an attribute is accessed, Python first looks for it in the instance’s __dict__ dictionary. If the attribute is not found, it looks in the class’s __dict__ dictionary. If the attribute is not found in either dictionary, an AttributeError is raised. This attribute lookup mechanism allows for dynamic attribute creation and modification at runtime.

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