object-oriented programming python book

object-oriented programming python book

I'd be happy to help you with that!

If you're looking for a comprehensive guide to object-oriented programming (OOP) in Python, I highly recommend checking out the following books:

In Chapter 12, "Object-Oriented Programming," you'll learn how to define classes, create instances, and manipulate object attributes. You'll also explore more advanced topics like abstract classes, interfaces, and operator overloading.

The book also covers more advanced topics like inheritance, polymorphism, and composition, making it an excellent choice for those who want a comprehensive introduction to OOP in Python.

In Chapter 10, "Object-Oriented Programming," you'll learn how to define classes, create instances, and manipulate object attributes. You'll also explore more advanced topics like abstract classes, interfaces, and operator overloading.

The book covers more advanced topics like inheritance, polymorphism, and composition, making it an excellent choice for those who want a comprehensive introduction to OOP in Python.

In Chapter 11, "Classes and Objects," you'll learn how to define classes, create instances, and manipulate object attributes. You'll also explore more advanced topics like inheritance, polymorphism, and composition.

Overall, these books provide a comprehensive introduction to object-oriented programming in Python, covering the basics of defining classes, creating instances, and manipulating object attributes, as well as more advanced topics like inheritance, polymorphism, and composition.

Happy learning!

What are the 7 OOPs concepts in Python?

Here's a detailed explanation of the seven fundamental Object-Oriented Programming (OOP) concepts in Python, with at least 300 words:

1. Encapsulation

Encapsulation is the process of wrapping code and data into a single unit, called a class or object. In Python, encapsulation is achieved through the use of classes. A class defines the properties and behavior of an object, hiding its internal implementation details from other parts of your program.

Python classes provide a way to bundle data (attributes) and methods that operate on that data into a single entity. You can think of a class as a blueprint for creating objects. The attributes are the data stored in the class, and the methods are functions that operate on those attributes.

For example:

class BankAccount:
def init(self, balance):
self._balance = balance
def deposit(self, amount):
self._balance += amount
def get_balance(self):
return self._balance

2. Abstraction

Abstraction is the concept of showing only the necessary information to the outside world while hiding the internal implementation details. In Python, abstraction is achieved through the use of abstract classes or interfaces.

An abstract class is a class that can't be instantiated on its own but serves as a base class for other subclasses. Abstract methods are declared without an implementation and must be implemented by any concrete subclass.

For example:

from abc import ABC, abstractmethod
class Animal(ABC):
@abstractmethod
def make_sound(self):
pass
class Dog(Animal):
def make_sound(self):
return "Woof!"
class Cat(Animal):
def make_sound(self):
return "Meow!"

3. Inheritance

Inheritance is the process by which one class can inherit the properties and behavior of another class. In Python, inheritance is achieved through the use of subclassing.

When you create a subclass, it inherits all the attributes and methods of its parent class (also known as the superclass). The subclass can then add new attributes and methods or override the ones inherited from its parent class.

For example:

class Vehicle:
def init(self):
self.speed = 0
def accelerate(self):
self.speed += 10
def brake(self):
self.speed -= 10
class Car(Vehicle):
pass

4. Polymorphism

Polymorphism is the ability of an object to take on multiple forms. In Python, polymorphism is achieved through method overriding or method overloading.

Method overriding occurs when a subclass provides a different implementation for a method that's already defined in its parent class.

Method overloading occurs when multiple methods with the same name can be invoked, depending on the number and types of arguments passed to them.

For example:

class Shape:
def area(self):
pass
class Rectangle(Shape):
def init(self, width, height):
self.width = width
self.height = height
def area(self):
return self.width * self.height
class Circle(Shape):
def init(self, radius):
self.radius = radius
def area(self):
return 3.14 * self.radius ** 2

5. Composition

Composition is the process of combining objects to form a new object. In Python, composition is achieved through the use of containers (such as lists or dictionaries) that hold references to other objects.

For example:

class Car:
def init(self):
self.wheels = [Wheel() for _ in range(4)]
class Wheel:
pass

6. Interface

An interface is a abstract class that defines a contract that must be implemented by any class that implements it. In Python, interfaces are achieved through the use of abstract classes or protocols.

A protocol is a type of interface that's used in Python to define a set of methods that must be implemented by any class that conforms to it.

For example:

from abc import ABC, abstractmethod
class Printable(ABC):
@abstractmethod
def print(self):
pass
class Document(Printable):
def print(self):
return "Printing a document"
class Image(Printable):
def print(self):
return "Printing an image"

7. Aggregation

Aggregation is the process of combining objects to form a new object, where the contained objects are not part of the containing object's state. In Python, aggregation is achieved through the use of containers (such as lists or dictionaries) that hold references to other objects.

For example:

class Car:
def init(self):
self.wheels = []
def add_wheel(self, wheel):
self.wheels.append(wheel)
class Wheel:
pass

These seven fundamental OOP concepts in Python are:

Understanding these concepts will help you write more maintainable and scalable code in Python!