10 Must - know Data Structures for coding interview

Arrays are ordered collections with constant time access to elements.

Array

Solve question like finding missing number, two sum. max subarray,etc.

Strings are character collections crucial for text processing NLP, & info retrieval

String

solve tasks like reverse string valid palindrome longest substring, etc

LIFO data structures, useful for memory allocation and syntax parsing

Stack

solve tasks like parentheses validation min stack, simplifying path and more

FIFO structures for orderly storage Enqueue & dequeue operations suit os message systems & web servers

Queue

solve tasks like implementing stack design circular queue & more

Dynamic nodes for variable data

Linked List

Perfect for managing data sizes tasks like reversing and merging lists are common

Hierarchical structures for relationships searching and sorting solve tasks involving tree depth validation and traversal.

Trees

Binary tree based structures for priority queues solve tasks like finding larges elements merging sorting lists sorting characters by frequency and more

Heaps

Complex relationships modeled with nodes and edges

Graph

Handy for network operations shortest paths and cycle detection.

Key- value pairs with quick access widely used in databases and search engines solve tasks involving anagrams and grouping

Hash Table

Two dimensional arrays for linear algebra and data analysis solve problems like matrix transformations and pathfinding