Data Structures and Algorithms with Python | Free DSA with Python Course - DSA in Python - Longest Substring Without Repeating Characters | Leetcode 3 - Part 94 [Hindi]

🚀 Welcome to Part 94 of Code & Debug’s DSA in Python Course! In this lecture, we solve Leetcode 3: Longest Substring Without Repeating Characters, a classic sliding window + hashing problem. We explore both brute force and optimal solutions. 📚 What you’ll learn in this video: ✅ Understanding the problem statement and real-world analogy ✅ Brute force approach using nested loops ✅ Optimal sliding window technique using a set or hashmap ✅ Maintaining a window of non-repeating characters ✅ Time & space complexity comparison of both solutions 💡 Why is this important? This problem is commonly asked in FAANG interviews and helps in mastering sliding window techniques, character tracking, and window shrink/expand logic, which are foundational for many string and array problems. 👉 Practice the problem on Leetcode: 🔗 https://leetcode.com/problems/longest-substring-without-repeating-characters/ 👉 Refer to the article for better understanding: https://codeanddebug.in/blog/longest-substring-without-repeating-characters/ 👉 📄 Access the full YouTube DSA Playlist Sheet (All Questions in Order): 🔗 https://docs.google.com/spreadsheets/d/1AWE15Fy3wD2iqu2vjK_R7cCiuvSsjYQclcdZmHpF66o/edit?usp=sharing 👉 Enroll in the free DSA Python course here: https://codeanddebug.in/course/master-dsa-with-leetcode 👉 Enroll for Self-Paced Advance DSA course here: https://codeanddebug.in/course/zero-to-hero-python-dsa 🙏 Thank you for supporting Code & Debug! Don’t forget to like, share, and subscribe to our channel. Hit the 🔔 bell icon to stay updated with our latest lectures. #LongestSubstring #SlidingWindow #Leetcode3 #StringProblems #BruteToOptimal #PythonDSA #DSAPythonCourse #CodeAndDebug #CodingInterviews #Part94