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Object-Oriented Programming in Python Course

A comprehensive and practice-driven OOP course that equips Python developers with the design skills needed for scalable, maintainable applications.

access

Lifetime

level

Beginner

certificate

Certificate of completion

language

English

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

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  • 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 attributes

  • Hands-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() usage

  • Hands-on: Create a class hierarchy for Vehicle → Car, Truck demonstrating polymorphic start_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 contains Book 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 compliance

  • Hands-on: Define an Exporter ABC and create CSVExporter and JSONExporter implementations

Module 7: Testing & Best Practices

⏳ 1 week

  • Topics: unittest for 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

  • 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

9.6Expert Score
Highly Recommendedx
This course delivers a clear, hands-on path from basic class structures to advanced design patterns, enabling you to write clean, maintainable Python code.
Value
9
Price
9.2
Skills
9.4
Information
9.5
PROS
  • Balanced mix of theory and practical coding exercises
  • Real-world examples of common design patterns in Python
  • Strong emphasis on testing and best practices
CONS
  • May feel fast-paced for absolute beginners in Python
  • Limited coverage of metaprogramming and advanced introspection

Specification: Object-Oriented Programming in Python Course

access

Lifetime

level

Beginner

certificate

Certificate of completion

language

English

FAQs

  • Prior basic Python knowledge is recommended to follow examples.
  • Course covers foundational OOP concepts from scratch.
  • Hands-on labs guide learners through building classes, methods, and objects.
  • Focuses on practical application of OOP rather than theory-heavy explanations.
  • Beginners can supplement with Python tutorials if needed before starting.
  • Covers Factory, Singleton, Strategy, and Observer design patterns.
  • Emphasizes composition and aggregation for building complex systems.
  • Includes testing with unittest and ABCs for interface compliance.
  • Capstone project simulates a real inventory management application.
  • Prepares learners for backend development, automation, and software engineering roles.
  • Focuses on SOLID principles for maintainable code.
  • Teaches @property decorators and magic methods (__str__, __eq__).
  • Hands-on exercises reinforce reusable class design.
  • Includes unit testing for code validation and reliability.
  • Prepares learners for collaborative coding and code reviews.
  • Teaches abc module usage for abstract classes.
  • Covers interface enforcement and multiple implementations.
  • Hands-on exercises with CSVExporter and JSONExporter implementations.
  • Emphasizes designing flexible and extensible class hierarchies.
  • Prepares learners to implement real-world Python application architectures.
  • Dedicate 4–6 hours weekly to complete modules and exercises.
  • Focus on one topic or module per session for clarity.
  • Incrementally complete hands-on labs and the capstone project.
  • Document design patterns, class relationships, and test cases.
  • Review and refactor previous exercises to reinforce learning.
Object-Oriented Programming in Python Course
Object-Oriented Programming in Python Course
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