Data Structures
Master fundamental and advanced data structures with hands-on learning.
This site includes comprehensive learning paths for core data structures, from basics to advanced, with explanations, examples, and practice problems.
Topics
It comes with the following topics out of the box:
- Arrays and techniques like prefix sum and sliding window.
- Linked Lists including singly, doubly, and cycle detection.
- Stacks with applications like expression conversion and next greater element.
- Queues including circular queues, deques, and priority queues.
- Hashing using hash maps, sets, and collision resolution methods.
- Trees including binary trees, BSTs, traversals, AVL trees, and tries.
- Heaps for priority queues, heap sort, and min/max heap implementation.
- Graphs with BFS, DFS, topological sort, and cycle detection.
- Advanced structures like segment trees, Fenwick trees, and disjoint sets (coming soon).
Click to Learn
Ready to dive into data structures? Click on any section below to start your journey and level up your skills. It’s time to make learning fun!