10 Key data Structures we use Every Day

Linked List: A sequential data structure where each element (node) points to the next, forming a chain.
Array: A collection of elements, usually of the same data type, in contiguous memory locations.
Stacks: Last in first out principal
Undo or Redo features in text editors
Maintaining browsing history in web browsers.
Queue: first in first our principal.
They are good for handling messages in chat application
Handling printer jobs, user actions in games
Heaps: Are used for task scheduling & memory managment:
Heaps are useful for storing priority queues to access the highest or lowest priority item efficiently.
For example your newsfeed are sorted based on a preferences
Trees: Organizes data hierarchically
They are useful for representing data with natural hierarchies or relationships
Trees are used in Database indexing, File systems and Ai decision making
B Trees, B+ trees are commonly used in relational database for indexing db.
Hash Table: Allows for efficient data look up, insertion & deletion.
Hash tables are widely used in various applications such as search engines, caching systems & programming language compilers and interpreters.
Suffix trees: Are specialized for searching strings in document.
Are widely used in text editors and search algorithms
In search engine, a suffix tree can be used to efficiently locate all occurrences of a search term within a large corpus of text.
Graphs: are all about tracking relationship or finding paths. This makes them invaluable in social networks, recommendation engines , & path finding algorithms.
In social networks graph can be used to represent the connections between users
It enables features like friend suggestions or analyzing network trends.