What will you learn in Object-Oriented Programming in Python Course
Understand core object-oriented principles in Python: classes, objects, inheritance, polymorphism, and encapsulation
Design and implement robust Python classes with constructors, magic methods, and property decorators
Apply design patterns such as Factory, Singleton, Strategy, and Observer in Python projects
Use composition and aggregation to build complex, maintainable systems
Write unit tests for OOP code and leverage ABCs (abstract base classes) for interface design
Program Overview
Module 1: OOP Fundamentals in Python
⏳ 1 week
Topics: Defining classes, creating objects,
__init__
, and instance vs. class attributesHands-on: Build a
BankAccount
class with deposit/withdraw methods and property validation
Module 2: Inheritance & Polymorphism
⏳ 1 week
Topics: Single vs. multiple inheritance, method overriding,
super()
usageHands-on: Create a class hierarchy for
Vehicle → Car, Truck
demonstrating polymorphicstart_engine()
Module 3: Encapsulation & Magic Methods
⏳ 1 week
Topics: Private/protected attributes, getters/setters with
@property
, special methods (__str__
,__eq__
)Hands-on: Implement a
Vector
class supporting addition, equality checks, and string representation
Module 4: Composition & Aggregation
⏳ 1 week
Topics: “Has-a” relationships, delegating behavior vs. inheritance
Hands-on: Model a
Library
class that containsBook
objects and supports search and checkout operations
Module 5: Design Patterns in Python
⏳ 1 week
Topics: Factory, Singleton, Strategy, and Observer patterns in Pythonic style
Hands-on: Implement a logging system using the Singleton pattern and a payment processor with Strategy
Module 6: Abstract Base Classes & Interfaces
⏳ 1 week
Topics:
abc
module, defining abstract methods, ensuring interface complianceHands-on: Define an
Exporter
ABC and createCSVExporter
andJSONExporter
implementations
Module 7: Testing & Best Practices
⏳ 1 week
Topics:
unittest
for OOP code, mocking, test fixtures, SOLID principlesHands-on: Write unit tests for previously built classes, enforce single-responsibility
Module 8: Capstone Project
⏳ 1 week
Topics: End-to-end OOP application design, code reviews, refactoring
Hands-on: Build a simple inventory management system with products, orders, and user roles, applying all learned concepts
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Job Outlook
OOP proficiency in Python is essential for backend development, software engineering, and automation roles
Common positions: Python Developer, Backend Engineer, Automation Engineer
Salaries range from $75,000 to $130,000+ depending on experience and location
Strong demand in web services, fintech, data engineering, and DevOps
Specification: Object-Oriented Programming in Python
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