Python Object Oriented Programming

Overview

🕮 Off the shelf (OTS)

This course is designed for Python developers, data scientists, and engineers seeking to deepen their understanding of object-oriented programming (OOP) principles within Python. It is particularly beneficial for those aiming to enhance code modularity, maintainability, and scalability by mastering Python's OOP features.

Prior experience with Python programming is recommended. Familiarity with basic programming concepts and object-oriented principles will be beneficial.

The Object-Oriented Programming Theory with Python Training Course provides an in-depth exploration of Python's object-oriented features. Participants will learn to design and implement classes and objects, understand inheritance and polymorphism, and apply design principles to create robust and maintainable code. The course covers both fundamental and advanced OOP concepts, including Python's object model, magic methods, and design patterns. Practical exercises throughout the course reinforce key concepts and provide real-world context.

Key Topics Covered:
• Understanding Python's object model and memory management
• Defining and using classes and objects
• Implementing inheritance and polymorphism
• Utilizing magic methods and Python protocols
• Applying design principles and patterns in OOP
• Exploring advanced OOP concepts such as metaclasses and decorators

The course is delivered over two days and includes hands-on labs and exercises using real-world scenarios to reinforce learning.