String Algorithms and Pattern Matching
String questions look approachable and hide real depth. Checking a palindrome is a two-pointer exercise; finding one substring inside another efficiently is a genuine algorithmic problem that took decades to solve well.
These lessons walk the full range. The naive search visualizer shows exactly where the wasted comparisons happen, which is the setup for KMP — and KMP only makes sense once you have watched its failure function skip the work the naive version repeats. Rabin-Karp covers the rolling-hash idea that reappears in deduplication and substring problems well outside interviews.
6
Interactive lessons3
Free to open4
Languages (JS, Python, Java, C++)Strings lessons
Continue the DSA curriculum
Strings is one of 12 topics in the interactive DSA visualizer curriculum. Once this topic is comfortable, the coding interview pattern library reorganises the same material around the patterns interview questions are built on.
Every other DSA visualizer
Data Structures · 28 lessons
- StackFree
- QueueFree
- Deque
- Circular Queue
- Priority Queue (ADT)
- Tree Traversal
- Binary Tree
- Binary Search Tree
- AVL Tree
- Trie (Prefix Tree)
- Segment Tree
- Fenwick Tree
- Red-Black Tree
- Singly Linked List
- Doubly Linked List
- Circular Linked List
- Graph RepresentationFree
- Breadth/Depth First SearchFree
- Depth First Search
- Topological Sort
- Cycle Detection
- Connected Components
- Bipartite Graph
- Dijkstra's Algorithm
- Bellman-Ford Algorithm
- Minimum Spanning Tree
- Floyd-Warshall Algorithm
- Bridges & Articulation Points
