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Python Object Oriented Programming

Syllabus:

Python Object Oriented Programming

16 Lessons 262 Online Coding Questions

What topics will be covered in the course?

Python OOP Basics

  1. Introduction:

    • Course Overview and Objectives

    • Importance of Python Object Oriented Programming

    • Prerequisites and Getting Started

  1. Classes and Objects:

    • Defining classes and objects in Python

    • Understanding class attributes and instance attributes

    • Implementing constructors (__init__) to initialize objects

    • Creating and manipulating objects

  1. Attributes and Methods:

    • Working with instance methods and class methods

    • Understanding method overloading and overriding

    • Implementing static methods

    • Encapsulating data using private and protected attributes

  1. Inheritance:

    • Creating and using subclasses in Python

    • Implementing inheritance to reuse code

    • Understanding method resolution order (MRO)

    • Using super() to access superclass methods

  1. Encapsulation:

    • As we near the end of our journey, we focus on encapsulation, a crucial concept in object-oriented programming.

    • Exploring access modifiers such as public, private, and protected

    • Understanding how access modifiers restrict access to class members

    • Implementing encapsulation to protect data within classes

  1. Polymorphism:

    • Understanding polymorphism and its types

    • Implementing method overriding and operator overloading

    • Using polymorphism to write flexible and reusable code

  1. Special Methods (Magic Methods):

    • Exploring special methods like __str__, __repr__, __len__, __add__

    • Understanding the purpose and usage of special methods

    • Implementing custom behavior using special methods

  1. Abstraction and Interfaces:

    • Understanding abstract classes and abstract methods

    • Using ABC (Abstract Base Classes) module for abstraction

    • Implementing interfaces and adhering to contract

  1. Composition and Aggregation:

    • Understanding composition and aggregation

    • Building complex objects using composition

    • Implementing aggregation to model relationships

  1. Properties and Decorators:

    • Implementing getter and setter methods

    • Understanding property decorators (@property, @setter, @deleter)

    • Using properties to encapsulate attributes

  1. Multiple Inheritance:

    • Understanding multiple inheritance and its pitfalls

    • Using multiple inheritance to combine features from multiple classes

    • Managing method resolution order (MRO) in multiple inheritance

  1. Method Resolution Order (MRO):

    • Method Resolution Order (MRO), a crucial aspect of inheritance in Python.

    • Understanding how Python determines the order in which methods are resolved

    • Using super() to navigate the Method Resolution Order

  1. Duck Typing:

    • Understanding the concept of Duck Typing

    • Implementing Duck Typing to write flexible code

    • Utilizing Duck Typing to work with different types of objects

  1. Data Hiding:

    • Understanding encapsulation and data hiding

    • Using encapsulation to restrict access to data

    • Implementing private attributes and methods

  1. Composition over Inheritance:

    • Understanding the principle of composition over inheritance

    • Identifying scenarios where composition is preferable

    • Building flexible and maintainable code using composition

  1. Closing Thoughts on Python Object Oriented Programming:

    • Reflecting on the Python Object Oriented Programming Learning Journey

    • Acknowledgments and Next Steps