Sliding Window Maximum | LeetCode 239 | Python Solution

Welcome to my channel!

In this video, we solve the Hard LeetCode problem 'Sliding Window Maximum' (Problem 239) using Python.

This problem is a great test of your algorithmic skills, and we’ll show you an efficient approach using a deque data structure to solve it.

*Timestamps:*
00:00 - Introduction
00:36 - Problem Explanation
01:50 - Brute force Approach with visual explanation
03:50 - Optimized Approach with visual explanation
11:46 - Time and Space Complexity Analysis
12:58 - Coding the solution
17:30 - Conclusion

🔍 *What You’ll Learn:*
- Breakdown of the problem and its complexities.
- Efficient solution using the deque for an optimal O(N) time complexity.
- Key insights into time and space complexity.
- Step-by-step walkthrough of the code implementation.

*Problem Description:*
Given an integer array nums and an integer k, return the maximum value in each sliding window of size k.

This is a common problem in coding interviews that tests your understanding of window-based algorithms and deque data structures.

*Topics Covered:*
- Brute Force Approach
- Sliding Window Technique
- Deque Data Structure
- Time and Space Complexity Analysis
- Algorithm Optimization

*LeetCode Problem Link:*

If you find this video helpful, please give it a thumbs up and consider subscribing to my channel for more LeetCode solutions and tech content.

Don’t forget to hit the bell icon to get notified of our latest uploads!

👍 *Give this video a thumbs up* if it helped you out—your support motivates us to create more content!
💬 *Drop a comment below* with any questions or feedback. I’m here to help!

Thanks for watching!

#LeetCode #Python #Coding #Algorithm #interviewpreparation #deque #dsalgo #slidingwindow #leetcodepython