#Binary Search Visualization Array

Mastering Binary Search: Part 1 🚀 Finding the rotation count in a sorted array is a classic interview question (Google, Amazon). In a sorted array, the minimum element is at index 0. If we rotate it k times to the right, that minimum element moves to index k. So, finding the index of the minimum element = finding k. Can you find the value of k for this array? 👇" arr[] = [15, 18, 2, 3, 6, 12] Follow for more @codexjava_ #JavaProgramming #DSA #LeetCode #SoftwareEngineer #BinarySearch

Mid Calculation in Binary Search #BinarySearch #DSA #CodingInterview #InterviewPrep #Programming SoftwareEngineering TechReels LearnToCode CodingLife ProblemSolving ComputerScience DeveloperLife FAANGPrep LogicBuilding • Binary Search • Binary Search Algorithm • Binary Search Mid Calculation • Wrong Mid in Binary Search • Binary Search Overflow • Safe Mid Formula • Data Structures and Algorithms • DSA Interview Questions • Coding Interview Tips • Software Engineer Interview • FAANG Interview Preparation • Java Binary Search • C++ Binary Search • Edge Cases in Coding • System Design Thinking (light use)

Linear Search vs. Binary Search: Which one should you choose? 🔍 Searching is one of the most fundamental operations in programming. Today, we’re diving into how to implement these in Java: ✅ Linear Search: Simple and works on unsorted data. ✅ Binary Search: Faster (O(\log n)) but requires the array to be sorted first! Swipe to see the code implementation and understand the time complexity! ➡️ #JavaProgramming #SearchingAlgorithms #DataStructures #CodingInterview #JavaDeveloper

Solved LeetCode #104 – Maximum Depth of Binary Tree using the classic recursive return approach in JavaScript 🌳🔥 This is the cleanest way to compute tree height: 1️⃣ Recursively find left subtree depth 2️⃣ Recursively find right subtree depth 3️⃣ Return 1 + max(left, right) This pattern is extremely important for: Tree recursion mastery Divide & conquer thinking FAANG interview prep Writing elegant DSA solutions If you understand this, you unlock many other tree problems 🚀 Follow for daily LeetCode + DSA Shorts 👨‍💻🔥

Binary Search made simple 🔥 In this reel, we break down Binary Search with a complete step-by-step dry run and visual explanation. Array → 2, 4, 6, 8, 10, 12, 18 Target → 12 Watch how we eliminate half of the array in every step and find the answer in just a few iterations. That’s the power of O(log n). 🚀 ━━━━━━━━━━━━━━━━━━━━━━━ 🧠 What You’ll Learn: • How low, high, and mid work • How to eliminate half the search space • Why Binary Search is O(log n) • Common mistakes beginners make ━━━━━━━━━━━━━━━━━━━━━━━ 💻 Perfect for: DSA beginners Coding interview prep LeetCode practice Competitive programming Follow @codearcdev for more visual DSA content 🚀 Save this reel for revision later 💾 #dsa #java #javaroadmap #systemdesign #leetcode

First & Last Occurrence in a Sorted Array | Binary Search Trick You Must Know This is one of the most repeated binary search interview problems 🔥 Learn how to find the first and last position of a target in a sorted array using a clean and optimized approach. The key idea is simple once you see it — and it’s a pattern you can reuse in many problems. 📌 Save this for revision 💬 Comment “BS” if you want more binary search patterns 🚀 Follow for daily DSA & interview prep content #leetcode #binarysearch #codinginterview #dsa #Programming

Master Binary Search: Core Patterns & Templates for Coding Interviews #BinarySearch #DSA #CodingPatterns #InterviewPrep #AlgorithmTutorial BinarySearchPatterns CompetitiveProgramming DataStructures CodingTutorial ProblemSolving TechInterview LeetCode SearchAlgorithms

DSA Fundamentals in 40 seconds 🚀 An array is a collection of elements stored side by side in memory, which is why we get direct access in O(1) time. Arrays are simple, fast, and used everywhere in DSA — but they also come with limitations like fixed size and costly insertions. Follow for more byte-sized DSA fundamentals and patterns 👨‍💻✨ #explorepage #coding #arrays #reels #google

Missing Number Same problem. Three different ways to solve it. Most people stop at the first working solution. But interviews test optimization. • Brute space → Boolean array • Math formula → Risk of overflow • XOR → Cleanest solution Time complexity is not enough. Space matters. Edge cases matter. Save this before your next interview. #DSA #CodingInterview #LeetCode #TechPrep #BitManipulation SoftwareEngineer

Please follow for upcoming notes :) #100daysofcode #dsa #virka #viral #solve Checkout the all the notes for pattern wise learning Data structure and algorithm striver A to Z sheet

If you don’t know this, you can’t crack DSA coding interviews 😮🔥 #TimeComplexity #DataStructures #Algorithms #CodingReels #Programming #BigO #CodeLife #Developer #TechReels #LearnCoding #CodingInterview #TimeComplexity #DSA #SoftwareEngineer #CodeDaily #TechContent #LearnToCode #Developers #JavaDSA #DSAWithJava #JavaAlgorithms #JavaCoding #JavaInterviewPrep #JavaPractice #JavaProblems #BigOInJava #CodingWithJava #JavaSolutions #CodingTips #reelseducation

Types of Linked Lists explained simply 🔥 Singly → One direction Doubly → Two directions Circular → Loop structure Master this = Crack coding interviews 💯 Day-20 of DSA series 🚀 #dsa #linkedlist #coding #programming #computerscience placements codinglife learncoding datastructures python reelsindia