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