Скачать или смотреть 📘 Lect # 7 – OOP in Python: Classes, Objects & Constructors

Welcome to Lecture # 7 of the Python for Data Science, AI & Development series by Tayyab's Analytical Hub.

In this session, we introduce you to the Object-Oriented Programming (OOP) paradigm in Python — a powerful approach for structuring complex programs and real-world data models.

🔹 Key Concepts Covered:

• Classes and Objects
Understand how to define classes and create objects in Python

• Constructors (__init__ method)
Learn how constructors initialize object data

• Overloading Constructors
Use default parameters and *args/**kwargs to simulate constructor overloading

• Encapsulation Basics
(Introduction to hiding internal object details — optional overview)

🔹 Practical Use:
OOP allows you to build modular, scalable, and reusable code, especially useful when developing data pipelines, AI models, and data-driven applications.

📌 Mastering OOP is essential for writing clean and maintainable code in professional Data Science and AI development.

➡️ Tip: Try building a class for a real-world object (e.g., Car, Employee, or Dataset) and implement methods for behavior!



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Don’t hesitate to reach out for queries or collaboration.
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