Inheritance and Polymorphism in Python. Inheritance is a mechanism which allows us to create a new class – known as child class – that is based upon an existing class – the parent class, by adding new attributes and methods on top of the existing class.
Inheritance allows a subclass to inherit methods and properties from a parent class. The main types of inheritance are single, multiple, multilevel, hierarchical, and hybrid inheritance. Method overriding allows a child class to provide its own implementation of a method defined in the parent class, while maintaining the same method signature. Abstract classes define abstract methods that must be implemented in child classes, allowing for common interfaces. Access specifiers like public, protected, and private are used to control access to class methods and properties.
Inheritance allows classes to inherit properties from parent classes to promote code reuse. A child class inherits the parent's data members and functions and can also define its own implementation of parent functions. Python supports multi-level inheritance where a class can inherit from another derived class, as well as multiple inheritance from multiple parent classes. The issubclass() and isinstance() functions check class relationships and object types respectively. Method overriding allows child classes to provide specific implementations of parent class methods. Data abstraction in Python uses double underscores to hide attributes from external access.
1. Inheritance allows one class to inherit properties from another class, creating a parent-child relationship between classes.
2. Polymorphism means a function can behave differently depending on its parameters. Method overloading and operator overloading are examples of polymorphism.
3. Overriding occurs when a child class replaces a method in the parent class that shares the same name and parameters. This allows the child class method to perform differently than the parent.
1. Inheritance is a mechanism where a new class is derived from an existing class, known as the base or parent class. The derived class inherits properties and methods from the parent class.
2. There are 5 types of inheritance: single, multilevel, multiple, hierarchical, and hybrid. Multiple inheritance allows a class to inherit from more than one parent class.
3. Overriding allows a subclass to replace or extend a method defined in the parent class, while still calling the parent method using the super() function or parent class name. This allows the subclass to provide a specific implementation of a method.
Python programming computer science and engineeringIRAH34
Python supports object-oriented programming (OOP) through classes and objects. A class defines the attributes and behaviors of an object, while an object is an instance of a class. Inheritance allows classes to inherit attributes and methods from parent classes. Polymorphism enables classes to define common methods that can behave differently depending on the type of object. Operator overloading allows classes to define how operators like + work on class objects.
INHERITANCE ppt of python.pptx & PYTHON INHERITANCE PPTdeepuranjankumar08
The document discusses inheritance in Python. Inheritance allows a child class to inherit properties from a parent class. There are different types of inheritance including single, multi-level, multiple, and hierarchical inheritance. Single inheritance involves one parent and one child class, multi-level involves multiple generations of inheritance, multiple involves one child class with multiple parent classes, and hierarchical involves one parent class with multiple child classes. Examples of each type of inheritance in Python are provided.
Inheritance allows one class to inherit properties from another class. There are several benefits: it represents real-world relationships well, allows code reusability so the same code is not rewritten, and allows adding new features without modifying the original class. There are different forms of inheritance, including single inheritance where a child class inherits from one parent class, multiple inheritance where a child class can inherit from multiple parent classes, and multilevel inheritance where there can be child and grandchild class relationships.
Problem solving with python programming OOP's Conceptrohitsharma24121
This document discusses object-oriented programming concepts in Python including classes, objects, inheritance, encapsulation, polymorphism and abstraction. It provides examples of defining classes and objects in Python, creating methods, modifying and deleting object properties, inheritance between parent and child classes using the super() function, and using abstraction, encapsulation and polymorphism. Key topics covered include class definitions, the __init__() method, self parameter, inheritance between multiple classes, and polymorphism through method overloading and overriding.
This document discusses classes, objects, and inheritance in Python. It defines a class as a blueprint for creating objects, with objects being instances of a class. It describes how to define a class in Python using the class keyword and how to create object instances from a class. The document also explains inheritance in Python, where a derived or child class can inherit attributes and methods from a parent or base class, allowing for single, multiple, multilevel, hybrid and hierarchical inheritance.
This document discusses object-oriented programming concepts in Python including inheritance and method overriding. It provides examples of using inheritance to create child classes that inherit attributes and behaviors from a parent class. Method overriding is described as allowing a subclass to provide a different implementation of a method already defined in the superclass. The document includes code examples demonstrating inheritance and method overriding in Python.
This document discusses inheritance in object-oriented programming. It defines inheritance as allowing code reuse through classes inheriting traits from parent classes. The document covers different types of inheritance like single, multi-level, multiple and hierarchical inheritance. It also discusses inheritance in various programming languages like C++, Java, Python and ADA. The advantages of inheritance are code reuse and extending parent classes without modifying them, while disadvantages include subclasses being brittle and inheritance relationships not changing at runtime.
Python supports object-oriented programming through classes, objects, and related concepts like inheritance, polymorphism, and encapsulation. A class acts as a blueprint to create object instances. Objects contain data fields and methods. Inheritance allows classes to inherit attributes and behaviors from parent classes. Polymorphism enables the same interface to work with objects of different types. Encapsulation helps protect data by restricting access.
I’m thrilled to share my latest presentation on Object-Oriented Programming (OOP) in Python! This presentation delves into essential concepts that enhance code structure, promote reusability, and ensure maintainability. Whether you’re an experienced developer or new to the programming landscape, mastering OOP principles is key to writing efficient and effective code.
Key Highlights:
Core Principles of OOP: Get insights into encapsulation, abstraction, inheritance, and polymorphism.
Classes and Objects: Understand the blueprint for creating objects and their attributes.
Methodologies: Explore various types of inheritance, polymorphism, encapsulation, and abstraction.
Best Practices: Discover strategies to write cleaner and more maintainable code.
📊 Explore the presentation to see how OOP can elevate your programming skills and streamline your projects! Let’s embrace the future of software development with structured, reusable, and adaptable code.
I’d love to hear your thoughts, feedback, or any questions you may have! Happy coding! 💻✨
#Python #ObjectOrientedProgramming #OOP #SoftwareDevelopment #Coding #Programming #LearnToCode #TechTalks
Python supports object-oriented programming through classes, objects, inheritance and polymorphism. Key concepts include: classes provide blueprints for objects with attributes and methods; inheritance allows classes to inherit attributes and methods from parent classes; polymorphism enables common interfaces for functions that can work on different objects. The document also discusses file handling in Python and different types of inheritance like single, multi-level, multiple and their syntax examples.
The document discusses inheritance in C++. Inheritance allows a derived class to inherit attributes and behaviors from a base class. This establishes an "is-a" relationship where the derived class is a specialized form of the base class. There are different types of inheritance including single inheritance, multilevel inheritance, multiple inheritance, and hierarchical inheritance. Inheritance provides benefits like code reuse and extending existing functionality while maintaining relationships between classes.
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Inheritance allows classes to inherit properties from parent classes to promote code reuse. A child class inherits the parent's data members and functions and can also define its own implementation of parent functions. Python supports multi-level inheritance where a class can inherit from another derived class, as well as multiple inheritance from multiple parent classes. The issubclass() and isinstance() functions check class relationships and object types respectively. Method overriding allows child classes to provide specific implementations of parent class methods. Data abstraction in Python uses double underscores to hide attributes from external access.
1. Inheritance allows one class to inherit properties from another class, creating a parent-child relationship between classes.
2. Polymorphism means a function can behave differently depending on its parameters. Method overloading and operator overloading are examples of polymorphism.
3. Overriding occurs when a child class replaces a method in the parent class that shares the same name and parameters. This allows the child class method to perform differently than the parent.
1. Inheritance is a mechanism where a new class is derived from an existing class, known as the base or parent class. The derived class inherits properties and methods from the parent class.
2. There are 5 types of inheritance: single, multilevel, multiple, hierarchical, and hybrid. Multiple inheritance allows a class to inherit from more than one parent class.
3. Overriding allows a subclass to replace or extend a method defined in the parent class, while still calling the parent method using the super() function or parent class name. This allows the subclass to provide a specific implementation of a method.
Python programming computer science and engineeringIRAH34
Python supports object-oriented programming (OOP) through classes and objects. A class defines the attributes and behaviors of an object, while an object is an instance of a class. Inheritance allows classes to inherit attributes and methods from parent classes. Polymorphism enables classes to define common methods that can behave differently depending on the type of object. Operator overloading allows classes to define how operators like + work on class objects.
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The document discusses inheritance in Python. Inheritance allows a child class to inherit properties from a parent class. There are different types of inheritance including single, multi-level, multiple, and hierarchical inheritance. Single inheritance involves one parent and one child class, multi-level involves multiple generations of inheritance, multiple involves one child class with multiple parent classes, and hierarchical involves one parent class with multiple child classes. Examples of each type of inheritance in Python are provided.
Inheritance allows one class to inherit properties from another class. There are several benefits: it represents real-world relationships well, allows code reusability so the same code is not rewritten, and allows adding new features without modifying the original class. There are different forms of inheritance, including single inheritance where a child class inherits from one parent class, multiple inheritance where a child class can inherit from multiple parent classes, and multilevel inheritance where there can be child and grandchild class relationships.
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This document discusses object-oriented programming concepts in Python including classes, objects, inheritance, encapsulation, polymorphism and abstraction. It provides examples of defining classes and objects in Python, creating methods, modifying and deleting object properties, inheritance between parent and child classes using the super() function, and using abstraction, encapsulation and polymorphism. Key topics covered include class definitions, the __init__() method, self parameter, inheritance between multiple classes, and polymorphism through method overloading and overriding.
This document discusses classes, objects, and inheritance in Python. It defines a class as a blueprint for creating objects, with objects being instances of a class. It describes how to define a class in Python using the class keyword and how to create object instances from a class. The document also explains inheritance in Python, where a derived or child class can inherit attributes and methods from a parent or base class, allowing for single, multiple, multilevel, hybrid and hierarchical inheritance.
This document discusses object-oriented programming concepts in Python including inheritance and method overriding. It provides examples of using inheritance to create child classes that inherit attributes and behaviors from a parent class. Method overriding is described as allowing a subclass to provide a different implementation of a method already defined in the superclass. The document includes code examples demonstrating inheritance and method overriding in Python.
This document discusses inheritance in object-oriented programming. It defines inheritance as allowing code reuse through classes inheriting traits from parent classes. The document covers different types of inheritance like single, multi-level, multiple and hierarchical inheritance. It also discusses inheritance in various programming languages like C++, Java, Python and ADA. The advantages of inheritance are code reuse and extending parent classes without modifying them, while disadvantages include subclasses being brittle and inheritance relationships not changing at runtime.
Python supports object-oriented programming through classes, objects, and related concepts like inheritance, polymorphism, and encapsulation. A class acts as a blueprint to create object instances. Objects contain data fields and methods. Inheritance allows classes to inherit attributes and behaviors from parent classes. Polymorphism enables the same interface to work with objects of different types. Encapsulation helps protect data by restricting access.
I’m thrilled to share my latest presentation on Object-Oriented Programming (OOP) in Python! This presentation delves into essential concepts that enhance code structure, promote reusability, and ensure maintainability. Whether you’re an experienced developer or new to the programming landscape, mastering OOP principles is key to writing efficient and effective code.
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Core Principles of OOP: Get insights into encapsulation, abstraction, inheritance, and polymorphism.
Classes and Objects: Understand the blueprint for creating objects and their attributes.
Methodologies: Explore various types of inheritance, polymorphism, encapsulation, and abstraction.
Best Practices: Discover strategies to write cleaner and more maintainable code.
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I’d love to hear your thoughts, feedback, or any questions you may have! Happy coding! 💻✨
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All about python Inheritance.python codingdf
1. Python Inheritance (BCAC403)
Inheritance is an important aspect of the object-oriented
paradigm. Inheritance provides code reusability to the program
because we can use an existing class to create a new class.
In inheritance, the child class acquires the properties and can
access all the data members and functions defined in the parent
class.
A child class can also provide its specific implementation to the
functions of the parent class.
2. In python, a derived class can inherit base class by just mentioning the
base in the bracket after the derived class name. Consider the following
syntax to inherit a base class into the derived class.
Syntax:
Class BaseClass:
{Body}
Class DerivedClass(BaseClass):
{Body}
3. Benefits of Inheritance
It represents real-world relationships well.
It provides the reusability of a code. We don’t have to write the
same code again and again.
It is transitive in nature, which means that if class B inherits
from another class A, then all the subclasses of B would
automatically inherit from class A.
Inheritance offers a simple, understandable model structure.
Less development and maintenance expenses result from an
inheritance.
4. Note:
The process of inheriting the properties of the parent class into a child class is
called inheritance. The main purpose of inheritance is the reusability of code
because we can use the existing class to create a new class instead of creating
it from scratch.
In inheritance, the child class acquires all the data members, properties, and
functions from the parent class. Also, a child class can also provide its specific
implementation to the methods of the parent class.
For example: In the real world, Car is a sub-class of a Vehicle class. We can
create a Car by inheriting the properties of a Vehicle such as Wheels, Colors,
Fuel tank, engine, and add extra properties in Car as required.
Syntax:
class BaseClass:
//Body of base class
{Body}
class DerivedClass(BaseClass):
//Body of derived class
{Body}
5. Types of Inheritance in Python
1.Single inheritance
2.Multiple Inheritance
3.Multilevel inheritance
4.Hierarchical Inheritance
5.Hybrid Inheritance
6. 1.Single Inheritance:
Single inheritance enables a derived class to inherit properties
from a single parent class, thus enabling code reusability and the
addition of new features to existing code.
7. Example
# Base class
class Vehicle:
def Vehicle_info(self):
print('Inside Vehicle class')
# Child class
class Car(Vehicle):
def car_info(self):
print('Inside Car class')
# Create object of Car
car = Car()
# access Vehicle's info using car object
car.Vehicle_info()
car.car_info()
Output:
Inside Vehicle class
Inside Car class
8. Example
class Animal:
def speak(self):
print("Animal Speaking")
#child class Dog inherits the base class Animal
class Dog(Animal):
def bark(self):
print("dog barking")
d = Dog()
d.bark()
d.speak()
Output:
dog barking
Animal Speaking
9. 2.Multiple Inheritance:
When a class can be derived from more than one base class this
type of inheritance is called multiple inheritances. In multiple
inheritances, all the features of the base classes are inherited into
the derived class.
10. Example
# Parent class 1
class Person:
def person_info(self, name, age):
print('Inside Person class')
print('Name:', name, 'Age:', age)
# Parent class 2
class Company:
def company_info(self, company_name, location):
print('Inside Company class')
print('Name:', company_name, 'location:', location)
# Child class
class Employee(Person, Company):
def Employee_info(self, salary, skill):
print('Inside Employee class')
print('Salary:', salary, 'Skill:', skill)
# Create object of Employee
emp = Employee()
# access data
emp.person_info('Jessa‘, 28)
emp.company_info('Google', 'Atlanta')
emp.Employee_info(12000, 'Machine Learning')
11. Output:
Inside Person class
Name: Jessa Age: 28
Inside Company class
Name: Google location: Atlanta
Inside Employee class
Salary: 12000 Skill: Machine Learning
12. Example:
class Calculation1:
def Summation(self,a,b):
return a+b;
class Calculation2:
def Multiplication(self,a,b):
return a*b;
class Derived(Calculation1,Calculation2):
def Divide(self,a,b):
return a/b;
d = Derived()
print(d.Summation(10,20))
print(d.Multiplication(10,20))
print(d.Divide(10,20))
Output:
30
200
0.5
13. Multilevel Inheritance
In multilevel inheritance, features of the base class and the derived
class are further inherited into the new derived class. This is similar
to a relationship representing a child and a grandfather.
14. Example
# Base class
class Vehicle:
def Vehicle_info(self):
print('Inside Vehicle class')
# Child class
class Car(Vehicle):
def car_info(self):
print('Inside Car class')
# Child class
class SportsCar(Car):
def sports_car_info(self):
print('Inside SportsCar class')
# Create object of SportsCar
s_car = SportsCar()
# access Vehicle's and Car info using SportsCar object
s_car.Vehicle_info()
s_car.car_info()
s_car.sports_car_info()
16. Example
class Animal:
def speak(self):
print("Animal Speaking")
#The child class Dog inherits the base class Animal
class Dog(Animal):
def bark(self):
print("dog barking")
#The child class Dogchild inherits another child class Dog
class DogChild(Dog):
def eat(self):
print("Eating bread...")
d = DogChild()
d.bark()
d.speak()
d.eat()
Output:
dog barking
Animal Speaking
Eating bread...
17. Hierarchical Inheritance
When more than one derived class are created from a single base
this type of inheritance is called hierarchical inheritance. In this
program, we have a parent (base) class and two child (derived)
classes.
18. Example
Let’s create ‘Vehicle’ as a parent class and two child class ‘Car’ and ‘Truck’
as a parent class.
class Vehicle:
def info(self):
print("This is Vehicle")
class Car(Vehicle):
def car_info(self, name):
print("Car name is:", name)
class Truck(Vehicle):
def truck_info(self, name):
print("Truck name is:", name)
obj1 = Car()
obj1.info()
obj1.car_info('BMW')
obj2 = Truck()
obj2.info()
obj2.truck_info('Ford')
21. Example:
class Vehicle:
def vehicle_info(self):
print("Inside Vehicle class")
class Car(Vehicle):
def car_info(self):
print("Inside Car class")
class Truck(Vehicle):
def truck_info(self):
print("Inside Truck class")
# Sports Car can inherits properties of Vehicle and Car
class SportsCar(Car, Vehicle):
def sports_car_info(self):
print("Inside SportsCar class")
# create object
s_car = SportsCar()
s_car.vehicle_info()
s_car.car_info()
s_car.sports_car_info()
22. Output :
Inside Vehicle class
Inside Car class
Inside SportsCar class
Executed in: 0.01 sec(s)
Memory: 4188 kilobyte(s)
23. Python super() function
When a class inherits all properties and behavior from the parent
class is called inheritance. In such a case, the inherited class is a
subclass and the latter class is the parent class.
In child class, we can refer to parent class by using
the super() function. The super function returns a temporary
object of the parent class that allows us to call a parent class
method inside a child class method.
24. Benefits of using the super() function.
We are not required to remember or specify the
parent class name to access its methods.
We can use the super() function in both single and multiple
inheritances.
The super() function support code reusability as there is no
need to write the entire function
25. Example:
class Company:
def company_name(self):
return 'Google'
class Employee(Company):
def info(self):
# Calling the superclass method using super()function
c_name = super().company_name()
print("Jessa works at", c_name)
# Creating object of child class
emp = Employee()
emp.info()
Output:
Jessa works at Google