Data Structures and Algorithms with Python | Free DSA with Python Course - DSA in Python - Jump Game II | Recursion to Greedy (All Approaches) | Leetcode 45 - Part 104 [Hindi]

🚀 Welcome to Part 104 of Code & Debug’s DSA in Python Course! In this lecture, we go deep into Leetcode 45: Jump Game II, solving it with 5 different approaches—from basic recursion to fully optimized greedy—to give you complete clarity and mastery. 📚 What you’ll learn in this video: ✅ Problem understanding with clear intuition ✅ Step-by-step explanation of: 🔁 Recursion (brute force) 🧠 Memoization (top-down DP) 🧱 Tabulation (bottom-up DP) 🧰 Tabulation with space optimization ⚡ Greedy (final optimal approach) ✅ Transition between each approach with pros and cons ✅ Dry run and real-time jump tracking ✅ Time and space complexity comparison for all methods 👉 Practice the problem on Leetcode: 🔗 https://leetcode.com/problems/jump-game-ii/description/ 👉 Refer to the article for better understanding: 📌 https://codeanddebug.in/blog/jump-game-ii/ 👉 📄 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. 🔖 Hashtags: #JumpGameII #Leetcode45 #RecursionToGreedy #DynamicProgramming #GreedyAlgorithm #PythonDSA #DSAPythonCourse #CodeAndDebug #CodingInterviews #Part104