LeetCode 3781 Explained | Maximum Score After Binary Swaps | Python | time O(n) скачать в хорошем качестве

LeetCode 3781 Explained | Maximum Score After Binary Swaps | Python | time O(n)

In this video, we solve LeetCode Problem 3781: "Maximum Score After Binary Swaps" using Python. We carefully explain the problem statement and walk through an efficient O(n log n) solution step by step. This approach is commonly used in competitive programming and coding interviews. 🚀 What you will learn: • Clear explanation of the problem • How to handle duplicate elements efficiently • Heap + greedy strategy in Python • Step-by-step implementation • Time and space complexity analysis 🧠 Concepts Used: • Heap • Greedy Algorithm • Arrays • Problem Solving Techniques • Competitive Programming Patterns ⏱ Complexity Analysis: Time Complexity: O(n log n) Space Complexity: O(n) 🐍 Programming Language: Python This video is ideal for: ✔ LeetCode beginners ✔ Coding interview preparation ✔ Competitive programmers ✔ Data Structures & Algorithms learners 👍 If this helped you, LIKE the video 🔔 SUBSCRIBE for more LeetCode & DSA solutions 💬 Comment if you want solutions in another language #LeetCode #Python #DSA #Algorithms #CodingInterview code :https://leetcode.com/problems/maximum-scor...