In-depth guide to Arrays, Linked Lists, Trees, Graphs, Hash Tables, and Heaps with time complexity analysis.
Step-by-step implementation of Dijkstra algorithm for weighted graphs using heapq in O((V + E) log V) time complexity.
Detailed comparison of Separate Chaining (Linked Lists) vs Open Addressing (Linear Probing, Quadratic Probing, Double Hashing).
Learn how Min-Heap and Max-Heap array representations maintain heap invariants with swim (sift-up) and sink (sift-down) in C++.
Implement a Trie (Prefix Tree) in Python for fast O(L) string insertions, prefix lookups, and auto-complete search bars.
Understand the 5 invariants of Red-Black Trees and how left/right tree rotations maintain O(log N) height balance during insertion.
Explore virtual memory paging, page faults, Belady anomaly in FIFO, and Second-Chance Clock algorithm in modern operating systems.