Understanding Data Structures and Algorithms

Data are lowkey the building blocks of everything, skibidi. They come stacked in a hierarchy, like a toilet full of goons. You got linear structures, like arrays and linked lists, and nonlinear ones, like trees and graphs, chillin' at the edge of complexity. Choosing the right data structure is sigma level; it needs to capture real-world relationships while staying easy to handle. Operations? Traversing, searching, inserting, deleting, sorting, and merging are all the dank moves. Algorithms? They are just step-by-step instructions to solve problems, like finding the biggest goon in an array. Time to ship those data skills!