Data Structure Hip Hop

Yo, check it out, we diving deep into data structures,
From arrays to tries, let's break it down with some structures.
First up, arrays in the house, fundamental crew,
Elements lined up, index access, that's how we do.
Stored in memory, contiguous and slick,
Efficient for access, but size is fixed quick.
Linked lists step up, nodes linked in a line,
Dynamic, flexible, insertions so fine.
Memory's agile, with nodes pointing the way,
Efficient deletes, for data that'll stay.
Stacks in the mix, last in, first out,
Push and pop, manage calls, without a doubt.
Expressions evaluated, backtrack with ease,
LIFO's the game, handle tasks, aim to please.
Queues, front and back, first in, first out,
Enqueue, dequeue, managing tasks, no doubt.
Real-world scenarios, schedules in play,
FIFO system, manage resources, okay.
Trees grow tall, hierarchies in place,
Roots and nodes, children in embrace.
Organize files, hierarchy's pride,
Searching algorithms, where solutions ride.
Binary trees, two children, max and min,
Search and sort, where solutions begin.
Heaps on the heap, binary complete,
Priority queues, where order's sweet.
Hash it out, tables mapping keys,
Values hashed, operations breeze.
Insert, delete, lookup with speed,
Constant time, the hash, fulfilling needs.
Graphs connect, nodes and edges linked,
Relationships graphed, entities distinct.
Shortest path, spanning trees, expand,
Non-linear wonders, where solutions land.
Trie on the rise, prefixes stand tall,
Strings retrieved, autocomplete, recall.
Data structures, in the hip-hop beat,
From arrays to tries, knowledge complete.