Big O(Log N) Time Complexity in Python: All You Need to Know in Just 8 Minutes!

In this tutorial, I'll guide you through how the Big O of log n works, step by step. Using a practical example and additional example provided in Python, you'll grasp the intuition behind the Big O of log n. Big O of log n, written as O(log⁡n), describes an algorithm whose running time grows logarithmically with the input size. Algorithms with O(log⁡n) complexity are highly efficient, making them suitable for large data sets. I hope you enjoy learning! Please feel free to share your thoughts and comments below.
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