Dive into essential data structures like arrays, linked lists, trees, and graphs. Discover how they organize and manage data efficiently for optimal performance!
A Queue is a linear data structure that follows the principle of First In, First Out (FIFO). Introduction A Queue is a linear data structure that follows the principle of First In, First Out (FIFO). This means that the first element inserted into the queue will be the first one to be removed — just … Read more
Check Same binary Tree Leet 100. Same Tree When we first read the “Same Tree” problem, we often think of comparing the traversal results — like inorder, preorder, or postorder — of both trees. That’s a natural and valid idea, but it’s not necessary or ideal in this case. Case 1 : Using one of … Read more
A Binary Search Tree is a type of binary tree where each node follows a specific ordering property: the left child of a node contains a value less than the node’s value, and the right child contains a value greater than the node’s value. This property makes searching, insertion, and deletion efficient. Introduction A Binary … Read more
Linked Lists are one of the most fundamental data structures in computer science. Understanding their operations is crucial for interviews, system designs, and efficient programming. In this article, we’ll explore what a linked list is, and walk through all the key operations step-by-step. What is a Linked List? A Linked List is a linear data … Read more
Bit manipulation is a fundamental technique in programming that involves operating directly on bits—the basic units of information in computers. It enables high-performance solutions for many computational problems, particularly in competitive programming, cryptography, embedded systems, and optimisation tasks. Understanding bitwise operations can significantly improve code efficiency and reduce execution time. Binary representation Computers only understand … Read more
A Trie Data Structure (also known as a prefix tree or digital tree) is a specialized data structure used primarily for storing strings. It excels in scenarios where we need to efficiently manage a dynamic set of strings, often involving operations like prefix-based search, autocomplete, and lexicographical sorting. This article explores the design, functionality, and … Read more
A Count-Min Sketch (CMS) is a probabilistic data structure that is used for efficiently approximating the frequency of elements in a data stream. It is particularly useful when the dataset is too large to fit into memory, making it a great choice for large-scale applications like search engines, network traffic monitoring, and recommendation systems. What … Read more
Hashing is a critical technique in computer science used to efficiently retrieve or store data. At its core, hashing converts an input (or ‘key’) into a fixed-size string of bytes, typically for indexing data in hash tables. This method is widely used in scenarios where fast data retrieval is important, such as databases, file systems, … Read more
Data structures are a core component of computer science, and understanding the right data structures for the task is crucial. This article will explore data structures and their practical real-life applications. Data structures are ways to organize and store data efficiently. Each data structure is built on top of more fundamental structures, and understanding the … Read more
Heaps are a specialized tree-based data structure primarily implemented in priority queues and efficient sorting algorithms. They are binary trees that maintain a specific order between parent and child nodes, which makes them ideal for certain types of data access operations, such as quickly finding the minimum or maximum element. What is Heap Data Structure? … Read more