Basic Data Structures
Master the fundamental building blocks of computer science through interactive visualizations. Learn how stacks, queues, and lists work under the hood.
Stack: Array Implementation
LIFO data structure using fixed-size array with push, pop, and peek operations
Common Applications:
Stack: Linked List Implementation
LIFO data structure using dynamic linked list with flexible memory allocation
Common Applications:
Queue: Array Implementation
FIFO data structure using circular array with enqueue and dequeue operations
Common Applications:
Queue: Linked List Implementation
FIFO data structure using linked list with dynamic memory management
Common Applications:
List: Array Implementation
Dynamic array with resizing capability supporting insertion, deletion, and random access
Common Applications:
List: Linked List Implementation
Linear collection of nodes with pointers, supporting efficient insertion and deletion
Common Applications:
Why Learn Basic Data Structures?
These fundamental data structures form the backbone of all software systems. Understanding how they work internally helps you make better design decisions.
Recommended Learning Path
Key Concepts
LIFO vs FIFO
Last In First Out vs First In First Out principles
Memory Management
Array vs Linked List memory allocation patterns
Operation Complexity
Understanding time and space trade-offs
Array vs Linked List Implementations
| Aspect | Array Implementation | Linked List Implementation |
|---|---|---|
| Memory Allocation | Contiguous, Fixed Size | Non-contiguous, Dynamic |
| Cache Performance | Better (Locality) | Worse (Scattered) |
| Memory Overhead | Lower | Higher (Pointers) |
| Size Flexibility | Fixed | Dynamic |
| Implementation | Simpler | More Complex |