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Leetcode #707: Design Linked List

In this guide, we solve Leetcode #707 Design Linked List in Python and focus on the core idea that makes the solution efficient.

You will see the intuition, the step-by-step method, and a clean Python implementation you can use in interviews.

Leetcode

Problem Statement

Design your implementation of the linked list. You can choose to use a singly or doubly linked list.

Quick Facts

  • Difficulty: Medium
  • Premium: No
  • Tags: Design, Linked List

Intuition

Linked list problems often require pointer manipulation rather than extra memory.

Two-pointer techniques expose cycles, midpoints, or reordering patterns.

Approach

Traverse with fast/slow pointers or reverse sublists when needed.

Maintain invariants carefully to avoid losing nodes.

Steps:

  • Traverse with pointers.
  • Reverse or split if required.
  • Reconnect nodes correctly.

Example

Input ["MyLinkedList", "addAtHead", "addAtTail", "addAtIndex", "get", "deleteAtIndex", "get"] [[], [1], [3], [1, 2], [1], [1], [1]] Output [null, null, null, null, 2, null, 3] Explanation MyLinkedList myLinkedList = new MyLinkedList(); myLinkedList.addAtHead(1); myLinkedList.addAtTail(3); myLinkedList.addAtIndex(1, 2); // linked list becomes 1->2->3 myLinkedList.get(1); // return 2 myLinkedList.deleteAtIndex(1); // now the linked list is 1->3 myLinkedList.get(1); // return 3

Python Solution

class MyLinkedList: def __init__(self): self.dummy = ListNode() self.cnt = 0 def get(self, index: int) -> int: if index < 0 or index >= self.cnt: return -1 cur = self.dummy.next for _ in range(index): cur = cur.next return cur.val def addAtHead(self, val: int) -> None: self.addAtIndex(0, val) def addAtTail(self, val: int) -> None: self.addAtIndex(self.cnt, val) def addAtIndex(self, index: int, val: int) -> None: if index > self.cnt: return pre = self.dummy for _ in range(index): pre = pre.next pre.next = ListNode(val, pre.next) self.cnt += 1 def deleteAtIndex(self, index: int) -> None: if index >= self.cnt: return pre = self.dummy for _ in range(index): pre = pre.next t = pre.next pre.next = t.next t.next = None self.cnt -= 1 # Your MyLinkedList object will be instantiated and called as such: # obj = MyLinkedList() # param_1 = obj.get(index) # obj.addAtHead(val) # obj.addAtTail(val) # obj.addAtIndex(index,val) # obj.deleteAtIndex(index)

Complexity

The time complexity is O(n). The space complexity is O(1).

Edge Cases and Pitfalls

Watch for boundary values, empty inputs, and duplicate values where applicable. If the problem involves ordering or constraints, confirm the invariant is preserved at every step.

Summary

This Python solution focuses on the essential structure of the problem and keeps the implementation interview-friendly while meeting the constraints.


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