@classmethod and @staticmethod
Define class-level and static methods with appropriate decorators.
@classmethod and @staticmethod is a free Python Academy lesson on CoddyKit — lesson 4 of 4. You can read the complete lesson below for free — then practise it hands-on in the browser with a built-in code editor and a 24/7 AI tutor. It is part of the Python Academy learning path, one of 4 lessons in the course, and your progress syncs across the web and the CoddyKit app.
Introduction
Instance vs Class vs Static
class Demo:
def instance(self): return 'instance'
@classmethod
def class_m(cls): return f'class: {cls.__name__}'
@staticmethod
def static_m(): return 'static'
d = Demo()
print(d.instance())
print(Demo.class_m())
print(Demo.static_m())@classmethod as Factory
class Date:
def __init__(self, y,m,d): self.y,self.m,self.d=y,m,d
@classmethod
def today(cls):
from datetime import date
d = date.today()
return cls(d.year, d.month, d.day)
def __repr__(self): return f'{self.y}-{self.m}-{self.d}'
print(Date.today())@classmethod with Inheritance
class Animal:
@classmethod
def create(cls, name):
return cls(name)
def __init__(self, name): self.name = name
class Dog(Animal): pass
d = Dog.create('Rex')
print(type(d).__name__, d.name)@staticmethod for Utilities
class MathHelper:
@staticmethod
def clamp(value, lo, hi):
return max(lo, min(hi, value))
print(MathHelper.clamp(15, 0, 10))
print(MathHelper.clamp(-5, 0, 10))@staticmethod vs Module Function
class Validator:
@staticmethod
def is_email(s): return '@' in s and '.' in s
print(Validator.is_email('user@example.com'))
print(Validator.is_email('not-an-email'))Calling from Instance
class C:
@classmethod
def who(cls): return cls.__name__
@staticmethod
def pi(): return 3.14
c = C()
print(c.who())
print(c.pi())Class Method for Singletons
class Singleton:
_instance = None
@classmethod
def get(cls):
if cls._instance is None:
cls._instance = cls()
return cls._instance
a = Singleton.get()
b = Singleton.get()
print(a is b)Overriding Classmethods
class Base:
@classmethod
def info(cls): return f'{cls.__name__} info'
class Child(Base): pass
print(Base.info())
print(Child.info())Type Checking with cls
class Shape:
@classmethod
def make(cls):
return cls() # NOT Shape()
class Square(Shape): pass
print(type(Square.make()).__name__)Combining with @property
class Config:
_data = None
@classmethod
def load(cls):
if cls._data is None:
cls._data = {'debug': True}
return cls._data
print(Config.load())Quick Check
Recap
Keep Going
Frequently asked questions
Is the “@classmethod and @staticmethod” lesson free?
Yes — the full text of “@classmethod and @staticmethod” is free to read here on the web, and the Python Academy course includes 4 lessons in total. To practise it interactively (a built-in code editor and a 24/7 AI tutor) and unlock the rest of the Python Academy course, upgrade to CoddyKit PRO.
What will I learn in “@classmethod and @staticmethod”?
Define class-level and static methods with appropriate decorators. You practise Python Academy with hands-on code you run directly in the browser, and a 24/7 AI tutor answers your questions as you work through the lesson.
Do I need any experience to start Python Academy?
No prior experience is required. Python Academy on CoddyKit is structured for beginners through advanced learners; this is — lesson 4 of 4, so you can start here or from the beginning and move at your own pace.
How long does the “@classmethod and @staticmethod” lesson take?
Most CoddyKit lessons take about 5–10 minutes. Each one is bite-sized and interactive, so you make steady progress and pick up exactly where you left off across the web and the app.
Can I write and run code in this Python Academy lesson?
Yes. Every Python Academy lesson includes a built-in code editor, so you write and run real code right in your browser and get instant AI feedback — no local setup required.
All lessons in this course
- Functions as First-Class Objects
- Writing Custom Decorators
- The @property Decorator
- @classmethod and @staticmethod