Data Structures
Master fundamental data structures through interactive visualizations and detailed explanations. Learn how data is organized, stored, and manipulated efficiently.
Arrays
A fundamental data structure storing elements of the same type in contiguous memory locations. Provides constant-time access by index and forms the basis for many other data structures.
Linked Lists
A linear data structure where elements are stored in nodes, each containing data and a reference to the next node. Dynamic size allocation makes it ideal for frequent insertions and deletions.
Stack
A Last-In-First-Out (LIFO) data structure where elements are added and removed from the same end called the top. Essential for function calls, undo operations, and expression evaluation.
Queue
A First-In-First-Out (FIFO) data structure where elements are added at the rear and removed from the front. Used in scheduling, breadth-first search, and handling requests.
Trees
Hierarchical data structures that organize elements in parent-child relationships, like family trees or file systems. Includes binary trees, BSTs, heaps, and tries - perfect for efficient searching, sorting, and representing hierarchical data.
Graph
A collection of nodes (vertices) connected by edges, representing relationships between entities. Used in social networks, pathfinding algorithms, and network analysis.
Hash Tables
A data structure that implements an associative array using hash functions to map keys to values. Provides average O(1) time complexity for search, insert, and delete operations.