DSA in Python - Fractional Knapsack | Greedy + Sorting Optimal Solution | GFG - Part 99 [Hindi]

🚀 Welcome to Part 99 of Code & Debug’s DSA in Python Course! In this lecture, we tackle the classic Fractional Knapsack problem from GeeksforGeeks using an Optimal Greedy Approach with sorting by value-to-weight ratio. This is a must-know for greedy strategy interviews and competitive programming! 📚 What you’ll learn in this video: ✅ Difference between 0/1 and Fractional Knapsack ✅ Key greedy intuition: Take items with the highest value per weight first ✅ Full implementation of sorting + greedy strategy ✅ Optimal handling of fractional items for maximum value ✅ Dry run, edge cases, and complexity breakdown 👉 Practice the problem on Leetcode: 🔗 https://www.geeksforgeeks.org/problem... 👉 Refer to the article for better understanding: 📌 https://codeanddebug.in/blog/fraction... 👉 📄 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. 🔖 Hashtags: #FractionalKnapsack #GreedyAlgorithm #GFG #PythonDSA #DSAPythonCourse #CodeAndDebug #CodingInterviews #CompetitiveProgramming #GreedyKnapsack #Part99