Time & Space Complexity Explained | Big O Notation | DSA Roadmap 2026
Автор: Code with Dharmaveer
Загружено: 2026-01-29
Просмотров: 29
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🚀 Time & Space Complexity Explained | Big O Notation | DSA Roadmap 2026
Understanding Time Complexity and Space Complexity is the first and most important step in DSA. In this video, you’ll learn Big O Notation from scratch with simple explanations and real examples.
📌 What you’ll learn in this video:
✅ What is Time Complexity?
✅ What is Space Complexity?
✅ Why Big O Notation is important
✅ Common time complexities: O(1), O(n), O(log n), O(n²)
✅ Best, Average & Worst Case
✅ How to analyze code efficiently
In this video, I explain Time & Space Complexity using O(n), O(log n), O(1) which are part of Big O Notation.
This video is perfect for beginners, students, and anyone preparing for coding interviews and competitive programming.
💡 This is part of the DSA Roadmap 2026 playlist by Code with Dharmaveer.
👉 Watch till the end to build strong DSA fundamentals.
👍 Like | 💬 Comment | 🔔 Subscribe for more DSA tutorials
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