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Comparable vs Comparator in Java is one of the most frequently asked questions in Java interviews and a common source of confusion for developers working with collections. Java provides built-in…

When learning Java collections, one of the most common and confusing questions developers face is ArrayList vs LinkedList. Both implement the List interface, both store elements in an ordered manner,…

When working with collections in Java, we often come across questions like the difference between HashMap and ConcurrentHashMap—especially in interviews and multi-threaded application design. While both store data in key–value…

Welcome to the definitive guide on Spring Boot interview questions! Whether you're a recent graduate seeking your first job or a seasoned developer aiming for a senior role in microservices,…

If you are in an interview & face a question like "Design Rate Limiter" or "Rate Limiter Design", the first question that pops into your mind is "What is a…

Preparing for coding interviews requires revising a large number of data structures, algorithms, and problem-solving patterns — often under tight timelines. This DSA Cheat Sheet is designed to give you…

The variable-size sliding window algorithm is one of the most efficient techniques for solving problems involving subarrays or substrings that must satisfy certain conditions. Unlike a fixed-size window, the variable-size…

When it comes to sorting algorithms, heap sort is one of the most efficient and reliable options. In this article, we'll take a deep dive into heap sort, explaining every…

The median of two sorted arrays problem is a foundational question that showcases your grasp of searching algorithms, edge-case handling, and performance tuning. It often appears in technical interviews because…

In today’s highly competitive tech industry, preparing for and excelling in job interviews can be daunting. Fortunately, Artificial Intelligence (AI) has emerged as a powerful ally for candidates aiming to…

Graph traversal algorithms are essential in many domains of computer science, ranging from network routing to game development. Among the most fundamental graph traversal techniques, Depth First Search and Breadth…

When working with numbers in programming, one of the interesting problems that often comes up is checking if a number is a palindrome. A palindrome number is a number that…

Dynamic Programming (DP) is a technique used to solve complex problems by breaking them down into simpler subproblems. Solving each subproblem once and storing the results can prevent redundant work…

Binary Search is one of the most efficient searching algorithms widely used in computer science. Whether you are building applications, preparing for coding interviews, or solving algorithmic problems on platforms…

In the world of computer science, algorithms are the backbone of any program. Among various types of algorithms, the recursive algorithm or the recursion algorithm stand out due to their…

When diving deep into data structures, you’ll often encounter HashMaps as one of the most frequently used and fundamental structures. From basic programming tasks to complex software systems, HashMaps are…

The greedy algorithm is a fundamental problem-solving technique widely used in computer science and optimization. It follows a straightforward yet powerful principle: at each step, choose the option that appears…

The sliding window algorithm is one of the most efficient techniques used in solving problems that involve arrays, strings, or lists. This algorithm is widely used because it reduces the…

The Backtracking algorithm is a problem-solving algorithm, which uses recursion at its core. It involves trying to build a solution incrementally piece by piece. And solutions that don't satisfy the…

How to prepare for the coding interview? And How to crack the coding interview? A lot of people have these questions in the software industry nowadays. And if you are…