Data Structures for Problem Solving
Understand the building blocks behind efficient problem solving and algorithm optimization.
Structure_Explorer
Linear
Arrays, Linked Lists, Stacks & Queues
Tree-based
BST, AVL, Red-Black, Heaps & Tries
Hash-based
Hash Tables, Maps, Sets & Collision
Advanced
Segment Trees, Fenwick, Union-Find
Deep Dives
LinearMastering Arrays: From Basics to Sliding Window Techniques
A deep dive into array manipulation patterns — two-pointer, prefix sums, and sliding window — with real LeetCode problem walkthroughs.
Tree-basedBinary Search Trees: Insertion, Deletion & Balancing
Understand how BSTs maintain order, when they degrade to O(n), and how self-balancing variants like AVL and Red-Black trees solve this.
Hash-basedHash Tables Demystified: Collision Strategies Compared
Chaining vs. open addressing, load factors, and why Python dicts and Java HashMaps make different trade-off decisions under the hood.
AdvancedSegment Trees: Range Queries in O(log n)
Build a segment tree from scratch, support lazy propagation for range updates, and apply it to competitive programming problems.