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Binary Search is one of the most popular #algorithms taught by universities and is widely used in the industry. The Binary Search algorithm can significantly speed up the process of searching for data in large & ordered collections. It's also known as the Bisection Method and is widely popular across many disciplines. In this tutorial we cover what Binary Search is used for. How to implement the Binary Search Algorithm. What is the time complexity of Binary Search. More importantly, we simulate the Binary Search algorithm on several examples, demonstrating its work based on the implementation. There are several mistakes that one needs to consider and avoid when implementing the Binary Search Algorithm. We discuss some of the most popular bugs software engineers do when implementing the algorithm. It's important to keep in mind that Binary Search is not a fixed implementation but rather a generic idea which can be used when solving many problems. 💻 Practice Binary Search: https://profound.academy/algorithms-d... 📚 Full DSA Course: https://profound.academy/algorithms-d... 🎓 Teach with Profound Academy: https://profound.academy/teach https://profound.academy / profound.academy.inc / profound.academy.inc / profound-academy-inc Chapters: 0:00 - Introduction 0:18 - Problem Statement 0:39 - Binary Search Intuition 1:37 - Time Complexity 3:12 - Implementation 5:23 - Simulating the Algorithm (Normal Case) 6:53 - Simulating the Algorithm (Edge Case) 8:30 - Common Mistakes 9:58 - When Should We Use Binary Search? 11:10 - Binary Search as a Generic Method #binarysearch #InterviewPreparation #Python #bisectionmethod #Algorithms #CodingInterview #Programming #ProblemSolving #CompetitiveProgramming #Coding #DataStructures #AlgorithmicInterviews #Python #Algorithm #DataStructures #Algorithms #ProblemSolving #AlgorithmicInterview #InterviewPreparation #DataStructuresInterview #InterviewQuestions #TechInterview #TechInterviews #DSA #GoogleInterview #faang