Linked Lists
Module Contents
Why Linked Lists exist. Deep dive into Hardware Reality: Stack vs Heap, Cache Locality, and the cost of pointer chasing.
How to implement a Singly Linked List from scratch in Java and Go. Master insertions, deletions, and traversal.
Upgrade your Linked Lists. Learn how Doubly Linked Lists enable bidirectional traversal and how Circular Lists create infinite loops.
Master the most asked Linked List interview questions: Reversing a Linked List and Merging two sorted lists.
Learn Floyd’s Cycle-Finding Algorithm. Understand how the Tortoise and Hare technique solves cycle detection in O(N) time and O(1) space.
Staff Level: Understand the probabilistic data structure behind Redis Sorted Sets. Achieve O(log N) search with Linked Lists.
Review everything you learned about Linked Lists. Flashcards, Cheat Sheet, and Key Takeaways.
Linked Lists
[!NOTE] This module explores the core principles of Linked Lists, deriving solutions from first principles and hardware constraints to build world-class, production-ready expertise.
1. Practice
[!NOTE] Looking for hands-on algorithmic exercises? We have migrated all coding challenges for this module into the Problem Vault to give you a centralized, focused practice environment.
Module Chapters
Introduction to Linked Lists
Introduction to Linked Lists
Start LearningSingly Linked List
Implementing a Singly Linked List
Start LearningDoubly & Circular Lists
Beyond the Single Direction
Start LearningOperations (Reverse, Merge)
Common Interview Operations
Start LearningFast & Slow Pointers
The Tortoise and The Hare
Start LearningSkip Lists & Redis
The “Staff Engineer” Linked List
Start LearningModule Review: Linked Lists
Module Review: Linked Lists
Start Learning