Partition List | Bruteforce to Optimised | LinkedList Dummy node |vJava Python C++

In this video, we'll solve Partition List (LeetCode 86) and understand why the Dummy Node technique is one of the most important patterns in Linked Lists. The goal is to rearrange the linked list such that all nodes with values less than x appear before nodes greater than or equal to x, while preserving their original relative order. We'll see how using two dummy nodes simplifies the implementation, eliminates complex edge cases, and helps us build two separate linked lists before connecting them into the final answer. This is a must-know pattern for Linked List interviews because the Dummy Node technique is reused in many popular interview problems. What you'll learn: Why we need a Dummy Node Building separate linked lists efficiently Preserving the relative order of nodes Connecting two linked lists correctly Step-by-step dry run Optimal Java implementation Time & Space Complexity analysis Interview tips and common mistakes Pattern Covered: Dummy Node Pattern Linked List Pointer Manipulation List Partitioning Time Complexity: O(N) Space Complexity: O(1) If you're preparing for FAANG, Walmart, Microsoft, Amazon, Adobe, Atlassian, Uber, or any Product-Based Company, this is a must-know Linked List interview problem that demonstrates the power of the Dummy Node pattern.