10 Must - know Data Structures for coding interview
Arrays are ordered collections with constant time access to elements.
Solve question like finding missing number, two sum. max subarray,etc.
Strings are character collections crucial for text processing NLP, & info retrieval
solve tasks like reverse string valid palindrome longest substring, etc
LIFO data structures, useful for memory allocation and syntax parsing
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
solve tasks like implementing stack design circular queue & more
Dynamic nodes for variable data
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.
Binary tree based structures for priority queues solve tasks like finding larges elements merging sorting lists sorting characters by frequency and more
Complex relationships modeled with nodes and edges
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
Two dimensional arrays for linear algebra and data analysis solve problems like matrix transformations and pathfinding