Udemy – Object Oriented Programming in Python 3 2025-1

Learning and building practical understanding is more effective with a hands-on approach, and this course teaches OOP in a meaningful, easily accessible way, always with links to real-world use cases. Each section has coding exercises, quizzes, and stop-and-code sessions. These become progressively more challenging and continually build on the skills you’ve learned in previous sections.

What you will learn:

• Creating Classes and Instances: Learn how to define classes as templates for objects and create different instances of a class.
• Instance and Class Methods and Properties: Understand the difference between instance and class methods and properties and how to use them.
• Static Methods: Understanding static methods and their use in programming.
• Magic Methods: Introduction to Magic Methods (Dunder Methods) and how to customize the behavior of objects.
• Properties (Getter, Setter, Deleter): Learn how to control access to object properties using properties.
• Inheritance and Composition: Understand the concepts of inheritance and composition and how to use them to create class hierarchies.
• Data Classes: Introduction to Data Classes and how to define classes with a simple structure.
• Enum, Slot, and Descriptor: Understanding the concepts of Enum, Slot, and Descriptor and their application in object-oriented programming.
• SOLID Design Principles: Introduction to SOLID design principles and how to write maintainable and flexible code.
• Abstract Base Classes: Understand abstract base classes and how to use them to define common interfaces.
• Using OOP in Real Projects: Learn how to apply OOP concepts to real-world projects.
• OOP terminology and best practices: Familiarity with common terminology and best practices of object-oriented programming.

This course is suitable for people who:

• They are looking to learn the principles of object-oriented programming.
• Want to improve their Python code.
• They plan to contribute to larger and more complex Python projects.
• Seeking a better understanding of software structure and design.

Installation Guide

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