DSA in Python - Fruit Into Baskets | Brute, Better & Optimal | Leetcode 904 - Part 96 [Hindi]

🚀 Welcome to Part 96 of Code & Debug’s DSA in Python Course! In this lecture, we solve Leetcode 904: Fruit Into Baskets, a classic Sliding Window problem where we maximize the number of fruits we can pick with only two types of fruits allowed. We cover Brute Force, Better (O(2n)), and Optimal (Strict O(n)) approaches step-by-step! 📚 What you’ll learn in this video: ✅ Full understanding of the problem statement and real-life analogy ✅ Brute Force approach with nested loops ✅ Better approach with slight optimization (O(2n) sliding window) ✅ Strict Optimal O(n) approach using hashmap + two pointers ✅ Time and space complexity breakdown for all approaches 💡 Why is this important? This problem teaches how to optimize naive sliding windows into fully linear time solutions, a critical pattern for many real-world problems like longest substring, maximum consecutive elements, and frequency-based window problems — frequently asked in FAANG interviews. 👉 Practice the problem on Leetcode: 🔗 https://leetcode.com/problems/fruit-i... 👉 Refer to the article for better understanding: 📌 https://codeanddebug.in/blog/fruit-in... 👉 📄 Access the full YouTube DSA Playlist Sheet (All Questions in Order): 🔗 https://docs.google.com/spreadsheets/... 👉 Enroll in the free DSA Python course here: https://codeanddebug.in/course/master... 👉 Enroll for Self-Paced Advance DSA course here: https://codeanddebug.in/course/zero-t... 🙏 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. #SlidingWindow #FruitIntoBaskets #Leetcode904 #BruteToOptimal #ArrayProblems #PythonDSA #DSAPythonCourse #CodeAndDebug #CodingInterviews #CompetitiveProgramming #Part96