47 🐍 Shallow Copy vs Deep Copy in Python | Explained with Real Examples
Have you ever copied a Python list, modified one of them, and unexpectedly found that the other list changed too? This is one of the most common sources of confusion for Python beginners—and it's also a favorite interview topic.
In this video, you'll learn the difference between assignment, shallow copy, and deep copy using simple explanations, visual diagrams, and practical coding examples.
By the end of this tutorial, you'll understand exactly how Python stores objects in memory and know when to use each type of copy.
📌 Topics Covered
🔹 Assignment (=)
✅ What happens when assigning one list to another
✅ Shared references
✅ Why modifying one variable affects the other
🔹 Shallow Copy
✅ What is a shallow copy?
✅ Using list.copy()
✅ Using slicing ([:])
✅ Using copy.copy()
✅ Behavior with nested lists
✅ Advantages and limitations
🔹 Deep Copy
✅ What is a deep copy?
✅ Using copy.deepcopy()
✅ Independent copies of nested objects
✅ When deep copy is necessary
🔹 Memory Visualization
✅ Object references
✅ Memory addresses using id()
✅ Reference sharing
🔹 Real-World Examples
Student records
Shopping cart
Product catalog
Employee database
Configuration settings
Game state management
Machine Learning datasets
JSON and nested dictionaries
🔹 Common Interview Questions
Difference between assignment and copying
Difference between shallow copy and deep copy
When should you use deepcopy()?
Why does changing one nested list affect another?
Which copy is faster?
What are mutable and immutable objects?
By the end of this video, you'll confidently work with Python objects and avoid one of the most common programming mistakes.
📚 This video is part of the Complete Python Programming Series 2026, covering Python from beginner to advanced with practical coding examples, interview preparation, and real-world projects.
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