Object-Oriented Programming with Python Roadmap

Master the principles and techniques of Object-Oriented Programming (OOP) using the Python language.

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Stage Main Topic Content & Learning Activities Objectives & Deliverables
1 Python Fundamentals
  • Syntax, Variables, Data Types
  • Operators
  • Control Flow
  • Functions
  • Data Structures
  • Build a solid Python foundation.
2 Introduction to OOP
  • What is an Object?
  • What is a Class?
  • The Four Pillars of OOP
  • Understand the core concepts and benefits of OOP.
3 Classes and Objects
  • The 'class' Keyword
  • The '__init__' Method
  • Instance Attributes & Methods
  • The 'self' Keyword
  • Learn to create and use classes and objects.
4 Encapsulation
  • Public, Protected, Private
  • Properties
  • Benefits of Encapsulation
  • Protect and manage access to object data.
5 Inheritance
  • Subclassing
  • The 'super()' Function
  • Method Overriding
  • Multiple Inheritance
  • Reuse and extend code through inheritance.
6 Polymorphism
  • Duck Typing
  • Polymorphism with Inheritance
  • Polymorphism with Functions
  • Write flexible and adaptable code in Python.
7 Abstraction
  • Abstract Base Classes (ABCs)
  • @abstractmethod Decorator
  • Hide complexity and define contracts.
8 Advanced OOP Concepts
  • Static Methods
  • Class Methods
  • Composition
  • Data Classes
  • Explore design aspects and advanced features.
9 Magic Methods
  • What are Dunder Methods?
  • Object Representation
  • Operator Overloading
  • Customize the behavior of objects naturally.
10 SOLID Principles
  • SRP - Single Responsibility Principle
  • OCP - Open/Closed Principle
  • LSP - Liskov Substitution Principle
  • ISP - Interface Segregation Principle
  • DIP - Dependency Inversion Principle
  • Learn the principles of good object-oriented design.
11 Design Patterns
  • Introduction to Design Patterns
  • Creational Patterns
  • Structural Patterns
  • Behavioral Patterns
  • Apply proven solutions to common design problems.

Core Mindsets for Object-Oriented Programming with Python

1. Everything is an Object

Embrace Python's core philosophy. Understand that integers, strings, and even functions are objects with their own attributes and methods.

2. Simplicity and Readability

OOP code in Python should still follow "The Zen of Python". Prioritize clarity and simplicity over unnecessarily complex hierarchies.

3. Leverage "Duck Typing"

Focus on an object's behavior (`what can it do?`) rather than its type (`what is it?`). This is key to Python's flexible polymorphism.

4. Composition over Inheritance

While inheritance is useful, building complex objects by combining smaller ones often leads to more manageable and flexible code.