August 2020
Intermediate to advanced
508 pages
11h 53m
English
book
A Common-Sense Guide to Data Structures and Algorithms, Second Edition, 2nd Edition
by Jay Wengrow
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Chapter 7Big O in Everyday Code
In the previous chapters, you learned how to use Big O notation to express the time complexity of code. As you’ve seen, there are quite a few details that go into Big O analysis. In this chapter, we’ll use everything you’ve learned so far to analyze the efficiency of practical code samples that might be found in real-world codebases.
Determining the efficiency of our code is the first step in optimizing it. After all, if we don’t know how fast our code is, how would we know if our modifications would make it faster?
Additionally, once we know how our code is categorized in terms of Big O Notation, we can make a judgment call as to whether it may need optimization in the first place. For example, an algorithm that ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
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.