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 selffor 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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