Difference between 'cls' and 'self' in Python classes?
In a nutshell, self
is the instance itself—it's used in instance methods to access or modify the object's state. cls
, on the other hand, stands for the class itself and is employed in class methods (those equipped with the @classmethod
decorator) to adjust class traits shared across all instances.
Instance method using self
:
Class method using cls
:
Remember self
talks about the instance, cls
refers to the class.
The nitty-gritty behind the arguments
The self
:
- Involved in object creation: When you instantiate an object with
__init__
. - Accesses attributes: If you want to access or mutate any variables that belong to your instance.
- Facilitates internal calls: When a method needs to call another within the same object.
The cls
:
- Crafts Factory methods: For methods that give life to instances of the class.
- Alter Class state: To change class-level variables influencing every instance.
- Encourages class awareness: In scenarios where methods applicable to subclasses.
When it comes to code readability and maintainability, PEP 8 vouches for using self
and cls
—the more consistency in your code, the better.
Diving deeper into Python magic
Class-level machinations with cls
Factories, anyone? That's right, cls
as a parameter can wield class methods to churn out product lines i.e., instances.
Object-level customization with self
Pointing to the instance, self
is your one-man army for customizing instances. The following snippet shows how self
embodies instances:
Knowing cls
for Subclasses
cls
is a bit more social—it's aware of subclasses. It references whichever class the employed method belongs to, which is super handy for inheritance hierarchies:
Freedom with Conventions
Even though self
and cls
are conventional, it's the position that nails them as self-references or class-references:
Contextualizing usage
Class vs. Instance level modifications
For modifications speaking to the class state, use cls
. For changes affecting only the current object, call on self
. Knowing the difference makes for extensible code.
Static methods—the third wheel
Besides cls
in class methods, we also have @staticmethod
decorator. Unlike @classmethod
, it takes neither self
nor cls
. Neutral to both class and instance states, it's best for utility functions.
Method overriding—redefining tasks
With cls
, subclass methods can override superclass methods for tailored behavior while ensuring a link to the superclass version through super()
.
Practical scenarios
cls
and self
are the two sides of the same coin adding versatility to Python:
cls
—the key opener for singleton patterns by controlling instance creation.self
—the enabler for fluent interfaces by letting methodsreturn self
for method chaining.- Together they clear the API for instance-specific and class-wide functions.
Mastering these and more, you're ready to sail the Python's object-oriented paradigm.
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