Скачать или смотреть Ajaz Khan VS Elvish Yadav|Counting Number Subarray With XOR k|Day 43|Working on DSA 🚀

"Mastering the XOR Subarray Problem: An Efficient O(n) Solution Explained"

Are you ready to level up your coding skills? In this video, we dive deep into a fascinating algorithmic problem: finding the number of subarrays with a given XOR sum. What makes this video special? We'll show you how to solve it in O(n) time complexity!

Here's what you'll learn:
• The problem statement and its significance
• A step-by-step breakdown of the efficient solution
• Key concepts: XOR properties, prefix sums, and hash maps
• Time and space complexity analysis
• Real-world applications of this algorithm

We'll walk through the code, explaining each line and its purpose. You'll understand how we use a clever combination of XOR properties and a hash map to achieve linear time complexity, avoiding the pitfall of generating all possible subarrays.

Whether you're preparing for coding interviews, competitive programming, or just love elegant algorithms, this video is for you. We'll cover:

1. The magic of XOR in computer science
2. How to use prefix XOR sums effectively
3. Leveraging hash maps for O(1) lookups
4. Handling edge cases with ease

By the end of this video, you'll have a solid grasp of this powerful technique, ready to apply it to similar problems and impress in your next coding interview.

Don't forget to like, subscribe, and hit the notification bell to stay updated with more algorithm breakdowns and coding tips. Drop your questions in the comments - we're here to help you become a better programmer!

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