Dynamic typing: Python automatically determines
the data type of the variables you declare.
Built-in support for classes and objects: Python
has built-in support for object-oriented
programming, making it an ideal choice for OOP.
Inheritance and polymorphism: Python supports
inheritance, allowing code reuse and a clear class
hierarchy, and polymorphism, allowing objects to
take on many forms.
Dynamic binding: Python uses dynamic binding,
allowing objects to determine the specific
implementation of a method during runtime.
Sample Code
class Animal:
def __init__(self, name):
self.name = name
def make_sound(self):
# abstract method
pass
class Dog(Animal):
def make_sound(self):
return "Woof!"
my_dog = Dog("Rex")
print(my_dog.name) # "Rex"
print(my_dog.make_sound()) # "Woof!"
the data type of the variables you declare.
Built-in support for classes and objects: Python
has built-in support for object-oriented
programming, making it an ideal choice for OOP.
Inheritance and polymorphism: Python supports
inheritance, allowing code reuse and a clear class
hierarchy, and polymorphism, allowing objects to
take on many forms.
Dynamic binding: Python uses dynamic binding,
allowing objects to determine the specific
implementation of a method during runtime.
Sample Code
class Animal:
def __init__(self, name):
self.name = name
def make_sound(self):
# abstract method
pass
class Dog(Animal):
def make_sound(self):
return "Woof!"
my_dog = Dog("Rex")
print(my_dog.name) # "Rex"
print(my_dog.make_sound()) # "Woof!"
