Data Structures & Algorithms (DSA)

Real World Applications of the Stack are numerous and integral to both computing and everyday problem-solving. A stack is a linear data structure that follows the Last In, First Out (LIFO) principle. This unique behavior is leveraged in many areas, from software development to real-world systems, making stacks a cornerstone of data management and operations. […]

In computer science, a queue is a data structure that stores elements in a specific order. It follows the First-In-First-Out (FIFO) principle, meaning that the first element added to the queue is the first one to be removed. Queues are used in a variety of applications, from operating systems to web servers, and understanding how

Operations on data structures are the actions we perform to manipulate, access, and manage data stored within them. These operations form the basis of countless algorithms and are essential for efficient problem-solving in computer science. Understanding these operations is key to writing efficient, maintainable, and scalable code. 5 Essential Operations on Data Structures 1. Insertion:

How data is organized within your computer’s memory has a profound impact on how efficiently your programs can operate. The representation of data structures dictates how data elements are stored, accessed, and manipulated, directly influencing the performance and scalability of your algorithms. In this guide, we’ll unravel the two fundamental ways of representing data structures:

Pointers are a cornerstone of C programming, offering a level of control and efficiency that few other language features can match. They unlock the ability to directly manipulate memory addresses, enabling dynamic memory allocation, optimised data structures, and seamless interaction with functions. Understanding the importance and use of pointers is crucial for any aspiring C programmer seeking to write efficient