
Linked List: The Scavenger Hunt of Data Structures (Definitive Guide)
Arrays are apartments, Linked Lists are scavenger hunts. Deep dive into Node structure, O(1) insertion, Memory Fragmentation, LRU Cache, and Circular Linked Lists.

Arrays are apartments, Linked Lists are scavenger hunts. Deep dive into Node structure, O(1) insertion, Memory Fragmentation, LRU Cache, and Circular Linked Lists.
Why does my server crash? OS's desperate struggle to manage limited memory. War against Fragmentation.

Two ways to escape a maze. Spread out wide (BFS) or dig deep (DFS)? Who finds the shortest path?

Fast by name. Partitioning around a Pivot. Why is it the standard library choice despite O(N²) worst case?

Establishing TCP connection is expensive. Reuse it for multiple requests.

I understood Linked Lists as a "scavenger hunt." To find the next location, you must open the current note. Seems inefficient, but adding or removing notes is instant. Once I accepted this difference, it became clear when to use arrays vs linked lists.
Ultimately, data structures have no single right answer. Only situation-appropriate choices. Linked Lists are one of those choices.