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DSA Python 2025 - Fractional Knapsack | Greedy + Sorting Optimal Solution | GFG - Part 99 [Hindi]

🚀 Welcome to Part 99 of Code & Debug’s DSA Python Course 2025! 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 💡 Why is this important? Fractional Knapsack is one of the most famous greedy problems, often asked in interviews to test your grasp of optimization under constraints. This approach is efficient and directly reflects real-world resource allocation problems. 👉 Practice the problem on GFG: 🔗 https://www.geeksforgeeks.org/problem... 👉 Refer to the article for better understanding: 📌 https://docs.google.com/document/d/1r... 👉 📄 Access the full YouTube DSA Playlist Sheet (All Questions in Order): 🔗 https://docs.google.com/spreadsheets/... 👉 Enroll in this FREE DSA Python course here: 🔗 https://www.codeanddebug.in/course/ma... 👉 Enroll for Self-Paced Advanced DSA course here: 🔗 https://www.codeanddebug.in/course/ze... 👉 Enroll for the Live Batches: 🔗 https://www.codeanddebug.in/course/py... 🙏 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 #DSA2025 #CodingInterviews #CompetitiveProgramming #GreedyKnapsack #Part99