Скачать или смотреть Why We Use @Decorator Instead of Manual Functions in Python | Explained

Understand why Python developers use @decorators instead of manual function calls with this clear and practical tutorial! Decorators are one of Python’s most powerful features, allowing you to wrap or extend the behavior of functions and classes without modifying their core logic. In this session, we explain the concept of decorators, their advantages over manual function wrapping, and real-life coding examples to help you write cleaner, more efficient, and reusable Python code.

At Dr. Sourav Sir’s Classes (www.souravsirclasses.com | Call 9836793076), we simplify advanced programming topics by combining theory, live coding, and practical projects so that students, beginners, and working professionals can master Python faster and apply these skills effectively.

In this video, you’ll learn:

What are Decorators in Python?

Why use @decorators instead of manually wrapping functions?

How decorators help with code reusability, readability, and DRY (Don’t Repeat Yourself) principles.

Step-by-step demonstration of creating and using custom decorators.

Built-in decorators like @staticmethod, @classmethod, and @property explained.

Real-life use cases: logging, authentication, performance measurement, and API handling.

Common mistakes to avoid when using decorators in Python projects.

This tutorial is part of our Python Advanced Programming & OOP Series, where we cover fundamental to advanced topics like classes, inheritance, polymorphism, functional programming, and project-based coding. Perfect for students, competitive programmers, and developers looking to sharpen their Python skills.

Want to master Python with live mentorship and hands-on projects? Join our online and offline programming courses for real-world coding experience, test series, and one-to-one guidance.

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