Binary Search Explained Simply: A Beginner's Guide If you had to find one number inside a list containing one million sorted numbers, would you really check every number one by one? You could, but there is a much smarter approach. Instead of checking every element, you can look at the middle, decide which half could contain the answer, and immediately ignore the other half. This is the basic idea behind Binary Search . Binary Search can look intimidating when you first see code with left , right , and middle . But the actual idea is surprisingly simple: keep cutting the search space in half until you find the target or there is nothing left to search. In this guide, we will understand Binary Search from the ground up, using a simple analogy, a step-by-step array example, Java code, complexity analysis, common mistakes, interview patterns, and practical problems. What Is Binary Search? Binary Search is a searching algorithm that repeatedly divides a sorted search space...
How to Practice LeetCode: A Beginner's Guide to DSA Problems You create a LeetCode account, open a random problem, read it twice, and get stuck within five minutes. Then you check the solution, copy the code, submit it, see the green checkmark, and move to the next problem. After doing this for a few weeks, you may have dozens of solved problems but still struggle when you face a new question without help. The problem is not that you are incapable of learning DSA. The problem is that you are using LeetCode as a problem counter instead of using it as a learning tool. Learning how to practice LeetCode is about more than solving as many questions as possible. You need a process that teaches you how to think about unfamiliar problems, recognize patterns, choose the right data structure, and build solutions independently. A useful process is: Learn → Attempt → Struggle → Hint → Understand → Code → Review → Revisit This guide explains how to start LeetCode as a beginner, wha...