2 Big O notation
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In this chapter, we will unlock the power of Big O notation, a fundamental tool for analyzing the efficiency of algorithms in terms of both time complexity (how runtime scales with input size) and space complexity (how memory usage scales). We will explore common time complexities like O(1), O(log n), O(n), and others, along with their real-world implications ...
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