Lucas F. Costa • 6/12/2017

Big-O Explained and Why You Will Never Beat a Pigeon

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This article introduces Big O notation, explaining its importance for evaluating algorithm efficiency and scalability. It covers basic time complexity concepts like O(n) and O(n^2) with code examples, and discusses why understanding algorithmic limits is crucial for software engineering beyond just job interviews.

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#big-o notation #programming fundamentals #algorithm analysis
Big-O Explained and Why You Will Never Beat a Pigeon

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