Beginner to Intermediate

Linked List Interview Problems

Linked lists are a classic data structure that tests your ability to think in pointers and references. While less common in production code than arrays, linked list problems are favorites in interviews because they test pointer manipulation, recursion, and in-place algorithms without extra memory.

Why Linked Lists Problems Matter

Linked list problems test raw pointer thinking and in-place manipulation — skills that translate to memory management, OS design, and systems engineering. They're also excellent at distinguishing candidates who understand references from those who don't.

Key Patterns to Master

Fast & Slow Pointers

Reversal In-Place

Merge Two Lists

Detect Cycle

Find Middle Node

Example Problems You'll Practice

1 Reverse Linked List
2 Detect Cycle
3 Merge Two Sorted Lists
4 Remove Nth Node From End
5 LRU Cache

Interview Tip

The fast/slow pointer (Floyd's algorithm) solves cycle detection, finding the middle, and finding the kth from end. Drawing out the pointer manipulation step-by-step before coding prevents mistakes. Always check for null pointers before dereferencing.

How Yeetcode Helps You Master Linked Lists

Step-by-Step Guidance

Every linked lists problem includes a 4-step framework: Approach, Algorithm, Complexity, and Results. Build understanding, not memorization.

Practice on Your Phone

Practice linked lists problems during your commute, lunch break, or any spare 10 minutes. Mobile-first design makes it effortless.

14 Programming Languages

Practice in Python, Java, JavaScript, C++, Go, and 9 other languages. Use whatever you'll code in during the actual interview.

Track Your Progress

See which linked lists patterns you've mastered and where you need more practice. Stay motivated with achievement tracking.

Start Practicing Linked Lists Problems

Download Yeetcode and practice linked lists interview problems on your phone. 10 free attempts, no signup required.

10 free attempts • 14 languages • No credit card required