Data structures in computer science

Data structures are specialized formats for organizing, processing, retrieving, and storing data in a computer so that it can be accessed and modified efficiently. They provide a way to manage large amounts of data effectively for various applications.

Common examples include:

• Arrays: Collections of elements of the same data type stored in contiguous memory locations.
• Linked Lists: Collections of nodes where each node contains data and a reference (or link) to the next node.
• Stacks: A LIFO (Last-In, First-Out) data structure where elements are added and removed from the same end (the "top").
• Queues: A FIFO (First-In, First-Out) data structure where elements are added at one end (the "rear") and removed from the other (the "front").
• Trees: Hierarchical data structures where each node has a parent (except the root) and zero or more children.
• Graphs: Collections of nodes (vertices) and edges that connect pairs of nodes.
• Hash Tables: Data structures that map keys to values for efficient lookups.

The choice of data structure depends on the specific problem and the operations that need to be performed most efficiently (e.g., searching, insertion, deletion).