December 2023
Intermediate to advanced
504 pages
11h 43m
English
Content preview from A Common-Sense Guide to Data Structures and Algorithms in Python, Volume 1Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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Wrapping Up
We now have some powerful analysis tools at our disposal. We can use Big O to broadly determine the efficiency of an algorithm, and we can also compare two algorithms that fall within one classification of Big O.
However, another important factor must be taken into account when comparing the efficiencies of two algorithms. Until now, we’ve focused on how fast an algorithm is in a worst-case scenario. Now, worst-case scenarios, by definition, don’t happen all the time. On average, most scenarios that occur are…well…average-case scenarios. In the next chapter, you’ll learn how to take all scenarios into account.
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.