DSA in Python – Unique Paths | 4 DP Approaches | LeetCode 62 | Part 196 [Hindi]
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📘 Welcome to Part 196 of Code & Debug’s DSA in Python Course!
In this video, we break down the fundamental dynamic programming problem: Unique Paths from LeetCode. We’ll explore how a robot can move from the top-left to the bottom-right in an m x n grid, using only right and down moves. This video covers all 4 major approaches, progressing from brute-force recursion to the highly optimal, space-efficient DP solution, exactly as explained in our comprehensive article.
This is an excellent problem to get hands-on with basic-to-advanced DP strategies (recursion ➝ memoization ➝ tabulation ➝ space optimization). Mastering these approaches will prepare you for a wide range of grid-based DP interview questions.
👨🏫 What’s covered in this video:
1. Problem statement, input and output overview
2. Approach 1: Brute Force Recursion
3. Approach 2: Memoization (Top-Down DP)
4. Approach 3: Tabulation (Bottom-Up DP)
5. Approach 4: Space-Optimized Tabulation
6. Full Python code walkthrough for every solution
7. Step-by-step dry runs & visual explanation for transitions
8. Time and space complexity analysis
9. Interview guidance for modeling grid-based moves in DP
By the end, you’ll be comfortable with the full set of DP patterns needed for classic grid pathfinding problems!
🔗 LeetCode Problem – Unique Paths:
https://leetcode.com/problems/unique-paths/description/
🔗 Detailed Article with All Solutions & Explanations:
📄 FULL Playlist Sheet (Every Video Listed):
https://docs.google.com/spreadsheets/d/1AWE15Fy3wD2iqu2vjK_R7cCiuvSsjYQclcdZmHpF66o/edit?usp=sharing
🎓 Enroll Free: Master Python DSA Course
https://codeanddebug.in/course/master-dsa-with-leetcode
🚀 Advance Python DSA for FAANG (Zero to Hero Course):
https://codeanddebug.in/course/zero-to-hero-python-dsa
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