Concept
A linked list is a linear data structure made of nodes, where each node stores data and a reference to the next node.
Computer Science DSA Lab
Linked List Visualizer for Interactive DSA Practice
Explore linked lists by watching nodes connect through pointers while insertion, deletion, and traversal operations update the structure. Learn the concept, operation flow, complexity, and real-world use cases through a focused OpenLabs interactive visualizer.
DSA Visualizer
Pointer-based data structure
Search: O(n), Insert at head: O(1), Delete with node reference: O(1)
Step 1
Create node
Step 2
Link pointer
Step 3
Update head
Step 4
Traverse nodes
Operation flow
Unlike arrays, linked lists do not require contiguous memory. Each operation depends on how nodes are connected and how pointers are updated.
Complexity
Search: O(n), Insert at head: O(1), Delete with node reference: O(1)
Visualization
Watch each operation update the structure or algorithm state step by step.
Learn by visualizing
Understand Linked List through step-by-step interaction
Unlike arrays, linked lists do not require contiguous memory. Each operation depends on how nodes are connected and how pointers are updated. The lab makes every state change visible, helping students connect DSA theory with practical algorithm behavior.
Understand nodes, links, head pointers, and traversal.
Visualize insertion and deletion without relying on array indexing.
Compare linked lists with arrays for memory and access behavior.
Practice pointer updates used in many DSA interview problems.
Where this concept is used
- Dynamic memory structures
- Stacks and queues
- Adjacency lists in graphs
- Undo and history systems
How the interactive lab works
Open the Linked List lab, run the available operation controls, and watch the visual state update immediately. Use the animation to trace the operation order, compare complexity, and verify your understanding.
Curriculum Continuity
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Sorting AlgorithmBest: O(n)
Bubble Sort
Watch bubble sort compare neighboring values, swap them when needed, and move larger values toward the end of the array.
Sorting AlgorithmBest: O(n log n)
Heap Sort
Explore heap sort by building a max heap, moving the root to the sorted region, and heapifying the remaining array.
Sorting AlgorithmBest: O(n)
Insertion Sort
Watch insertion sort build a sorted prefix by picking one key at a time and inserting it into the correct position.
Linked List FAQs
What is a linked list?
A linked list is a chain of nodes where each node stores data and a pointer to the next node.
Why use a linked list instead of an array?
Linked lists are useful when frequent insertion and deletion are needed without shifting many elements.
Is linked list traversal fast?
Traversal is O(n) because nodes must be visited one by one from the head.
Ready to practice Linked List?
Launch the visualizer, trace each step, and build confidence with data structures and algorithms through hands-on learning.