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🧠 *Python List Slicing: Shallow Copy & Deep Copy Explained | NeuralAICodeCraft*
List slicing creates a SHALLOW COPY - but what does that mean? Learn why modifying nested lists can cause unexpected behavior!
📌 *What you'll learn:*
*SLICING BASICS*
▸ Syntax: `list[start:end:step]`
▸ Slicing creates a NEW list
▸ Original list remains unchanged
*SHALLOW COPY EXPLAINED*
▸ What is a shallow copy?
▸ Copies REFERENCES to objects (not objects themselves)
▸ Nested objects are SHARED
▸ Visual diagrams and examples
*SLICING vs OTHER METHODS*
▸ `list[:]` vs `list.copy()`
▸ `list()` constructor
▸ `copy.copy()` vs `copy.deepcopy()`
*PRACTICAL EXAMPLES*
▸ Modifying sliced lists
▸ Nested list behavior
▸ Common pitfalls
▸ When to use deep copy
📌 *Timestamps:*
0:00 - Introduction
1:30 - Slicing Basics
4:00 - Slicing Creates a Shallow Copy
7:00 - Shallow Copy Explained (Visual)
10:00 - Slicing vs copy() vs list()
13:00 - Nested List Pitfalls
16:00 - Deep Copy Solution
19:00 - Practice Problems & Summary
💻 *Code from this video:* [GitHub link]
🎯 *Practice Challenge:*
1. Create a list with a nested list
2. Slice it and modify the nested list
3. Observe what happens to the original
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