Dynamic Programming - DP
Optimizes problem-solving through subproblem breakdown, storing solutions to enhance efficiency.
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Explore DSA Topics
String
Strings are sequences of characters, fundamental in programming for text representation, manipulation, and processing.
Trie
A trie is a tree-like data structure for storing and retrieving dynamic sets, often used for efficient string matching.
Stack
A stack is a linear data structure that follows the Last In, First Out (LIFO) principle for storing and retrieving elements.
Recursion
Recursion is a programming technique where a function calls itself to solve smaller instances of a problem, aiding in iteration.
Queue
A queue is a linear data structure that follows the First In, First Out (FIFO) principle for storing and retrieving elements.
Linked List - LL
A linked list is a linear data structure where elements are connected via pointers, allowing dynamic memory allocation and efficient insertions.
Graph
A graph is a versatile data structure consisting of nodes and edges, representing relationships between entities in a network or system.
Fundesk DSA Curated Problems List
List of top data structure and algorithmic problems commonly asked in technical interviews.
Binary Tree
Binary Tree: Tree data structure where each node has at most two children, left and right, facilitating efficient search and traversal.
Binary Search Tree - BST
Binary Search Tree: Binary tree with the property that for each node, values in its left subtree are less, and in the right, greater.
Arrays
Arrays: Ordered, fixed-size data structures storing elements of the same type, accessed by index, crucial for efficient data manipulation.
Explore Programming
Python
Python: Readable, versatile, high-level language with extensive libraries for rapid development across various domains.
Java
Java: Object-oriented, versatile language for diverse application development with simplicity, reliability, and extensive libraries.