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📝 Solve the classic #slidingwindow problem of finding the longest substring without repeating characters. #strings #hashtable #csharp ⏱️ **Time Complexity**: O(n) where n is the length of the string 🗃️ **Space Complexity**: O(min(m, n)) where m is the size of the character set ⏰ Timestamps 00:00 - Understanding problem statement 00:44 - Using Brute Force 02:20 - Brute Force - Big O Notation 03:39 - Using Sliding Window 06:27 - Sliding Window - Big O Notation 07:00 - C# Solution walk-through 08:02 - Solution analysis - runtime + memory 🔑 Key Concepts Sliding Window Technique Hash Table / Dictionary String manipulation Two-pointer approach 💡 Learning Points How to efficiently track character positions using a dictionary Implementing an optimized sliding window approach Handling edge cases in substring problems Using C# collections for efficient lookups 🔗 Related Problems LeetCode 76: Minimum Window Substring LeetCode 159: Longest Substring with At Most Two Distinct Characters LeetCode 340: Longest Substring with At Most K Distinct Characters LeetCode 438: Find All Anagrams in a String 👥 Target Audience This video is for software engineers preparing for technical interviews, C# developers looking to improve their algorithm skills, and computer science students learning string manipulation techniques. 📚 Prerequisites Basic understanding of C# syntax Familiarity with dictionaries/hash tables Understanding of string operations 🔗 Links [LeetCode Problem](https://leetcode.com/problems/longest...) [Solution Code](https://shortenertool-qojxs-fa.azurew...) 💭 Additional Tips Pay special attention to the optimization that allows us to skip characters rather than checking each one Notice how we track the current window start position for efficient sliding Consider the tradeoff between time and space complexity in this solution 🎯 Call to Action If you found this solution helpful, please like and subscribe for more C# LeetCode solutions! Share your approaches or questions in the comments below. #codinginterview #leetcode #csharp #algorithmpractice