DSA in Python – House Robber II | 4 DP Approaches | Circular Constraint | LeetCode Medium | Part 194

📘 Welcome to Part 194 of Code & Debug’s DSA in Python Course!

Continuing our Dynamic Programming series after House Robber I, we now take on the classic House Robber II problem from LeetCode. With houses arranged in a circle, this problem introduces a key twist to the standard DP pattern: You cannot rob the first and last house together. We’ll break down the optimal strategy and implement all 4 DP approaches: recursion, memoization, tabulation, and fully space-optimized tabulation, as explained in detail in our companion article.

This is a must-know variation often asked in interviews to assess your problem-solving depth with DP and your ability to adapt classic patterns to new constraints.

👨🏫 What’s covered in this video:
1. Complete understanding of the circular constraint (why it changes things)
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 (for interviews and production)
6. How to split the circular array into two linear cases
7. Python code for each approach and dry run walkthroughs
8. Complexity analysis & summary table

By the end of this session, you’ll master how to adapt dynamic programming techniques for constraints like circular arrays!

🔗 LeetCode Problem – House Robber II:
https://leetcode.com/problems/house-robber-ii/description/

🔗 Full Article with Code & Explanations:
https://codeanddebug.in/blog/house-robber-ii/

📄 Full Playlist Sheet (All Questions in Order):
https://docs.google.com/spreadsheets/d/1AWE15Fy3wD2iqu2vjK_R7cCiuvSsjYQclcdZmHpF66o/edit?usp=sharing

🎓 Enroll in the FREE 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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