Data Structures and Algorithms
Introduction to DSA
Data Structures and Algorithms (DSA) form the foundation of efficient problem-solving in programming...
Big-O Notation
Big-O notation describes the performance and efficiency of an algorithm. It measures how runtime or ...
Arrays
Arrays store multiple values in a single variable. They allow fast access to elements by index and a...
Linked List
A linked list is a linear data structure where elements (nodes) are connected using pointers. It is ...
Stacks
A stack follows the LIFO (Last In, First Out) principle. Elements are added and removed from the top...
Queues
A queue follows the FIFO (First In, First Out) principle. Elements are added to the rear and removed...
Hash Tables
Hash tables store key-value pairs for fast lookups and insertions. They use a hashing function to ma...
Recursion
Recursion is a process where a function calls itself to solve a smaller instance of the problem. It'...
Trees
Trees are hierarchical data structures with nodes connected by edges. Common types include binary tr...
Graphs
Graphs consist of nodes (vertices) connected by edges. They can be directed or undirected, weighted ...
Sorting Algorithms
Sorting arranges data in a specific order. Common algorithms include Bubble Sort, Merge Sort, Quick ...
Searching Algorithms
Searching algorithms help find elements in a dataset. Common types include Linear Search and Binary ...
Dynamic Programming
Dynamic Programming (DP) is an optimization technique for solving problems by breaking them down int...
Greedy Algorithms
Greedy algorithms make the best local choice at each step to achieve a global solution. They're used...
Backtracking
Backtracking systematically searches for solutions by exploring possibilities and undoing steps when...