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A Common-Sense Guide to Data Structures and Algorithms by Jay Wengrow

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Wrapping Up

It’s clear that having a solid understanding of Big O Notation can allow us to identify slow code and select the faster of two competing algorithms. However, there are situations in which Big O Notation will have us believe that two algorithms have the same speed, while one is actually faster. In the next chapter, we’re going to learn how to evaluate the efficiencies of various algorithms even when Big O isn’t nuanced enough to do so.

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