Скачать или смотреть Master Python List Copy, Reverse, Sort & Inner Lists | Deep Copy vs Shallow Copy Explained

Unlock the secrets of Python List Functions and supercharge your coding journey 🚀. In this video, we’ll take a deep dive into the copy(), reverse(), and sort() functions in Python lists, along with the powerful Inner List concept. Whether you’re a beginner or an advanced Python programmer, this tutorial will give you complete clarity on how Python handles list copying, ordering, and nested list structures.

💡 What You’ll Learn in This Video

🔹 Copy Function in Python Lists

Difference between copy() method vs assignment (=)

Understanding shallow copy and when to use it

Exploring deep copy with copy module (copy.deepcopy())

Real-world scenarios: Why shallow copy can lead to unexpected bugs

🔹 Reverse Function in Lists

How to use reverse() method to reverse a list in-place

Difference between reverse() vs reversed() built-in function

Pythonic tricks for list reversal using slicing ([::-1])

Performance tips when reversing large lists

🔹 Sort Function in Lists

Using sort() method to arrange lists in ascending or descending order

Difference between sort() and sorted() (mutable vs immutable sorting)

Sorting numbers, strings, and tuples efficiently

Using custom key functions (like len, lambda) inside sort

Real-world coding examples for ranking, data organization, and quick lookups

🔹 Inner List Concept (Nested Lists in Python)

What are inner lists (lists inside lists)

Accessing and updating nested lists efficiently

Common mistakes when working with inner lists

Flattening nested lists (multiple approaches)

Practical coding patterns with matrix representation, adjacency lists, and 2D data structures

⚠️ Common Mistakes to Avoid

Assuming copy() makes a deep copy (it doesn’t by default)

Forgetting that reverse() modifies the original list

Using sort() incorrectly when immutability is required

Struggling with unexpected behavior in nested lists due to shallow copy

✅ Practical Tips for Clean & Efficient Code

Use copy.deepcopy() when dealing with nested or complex data

Prefer sorted() when you need to keep the original list unchanged

Use slicing ([::-1]) for quick one-line list reversal

Practice Pythonic handling of inner lists with comprehensions

Always be mindful of time complexity (O(n) for reverse, O(n log n) for sort)

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