DSA Simplified: Understanding Time Complexity 🔥

Every programmer hears about Big-O Notation in coding interviews – but what does it really mean? 🤔

In this video, we’ll cover:
✅ Constant time – O(1)
✅ Logarithmic – O(log n)
✅ Linear – O(n)
✅ Quadratic – O(n²)
✅ Exponential – O(2ⁿ)
✅ Factorial – O(n!)


Understanding time complexity helps you write efficient code and crack technical interviews. 🚀

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