Time Complexity and Space Complexity Explained || Big O Notation with Examples || DSA

In this video, I explain *Time Complexity* and *Space Complexity* in the simplest way possible. These are two of the most important concepts in Data Structures and Algorithms, and every programmer should understand them before solving coding problems or preparing for interviews. In this video, you'll learn: What is Time Complexity? What is Space Complexity? Why they are important Big O Notation explained Common time complexities like O(1), O(log n), O(n), O(n log n), and O(n²) How to analyze the time and space complexity of your code with examples Whether you're a beginner, a college student, or preparing for coding interviews, this video will help you build a strong foundation in DSA. If you found this video useful, consider subscribing to the channel. I regularly upload videos on Java, DSA, Spring Boot, and backend development to help you become a better developer. Topics Covered: Time Complexity, Space Complexity, Big O Notation, DSA, Algorithms, Data Structures, Java, Coding Interview Preparation, LeetCode, Problem Solving. #TimeComplexity #SpaceComplexity #BigO #DSA #Java #Algorithms #DataStructures #CodingInterview #LeetCode