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Cloud X Berry on Instagram: "Time Complexity Tracks! This visual explains time complexity using a race-track analogy 🏎️, making Big-O notation easy to understand at a glance. Big-O tells you how an algorithm scales as input grows, while runtime is just how fast it runs on a specific machine. Scaling is what matters in real systems. O(1) – Constant time 🚀 The algorithm finishes in the same time no matter how big the input is. Accessing an array index or a hash map lookup are classic examples. O
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