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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Exercises
The following exercises provide you with the opportunity to practice with speeding up your code. The solutions to these exercises are found in the section, Chapter 4.
-
Replace the question marks in the following table to describe how many steps occur for a given number of data elements across various types of Big O:
N Elements
O(N)
O(log N)
O(N2)
100
100
?
?
2000
?
?
?
-
If we have an O(N2) algorithm that processes an array and find that it takes 256 steps, what is the size of the array?
-
Use Big O Notation to describe the time complexity of the following function. It finds the greatest product of any pair of two numbers within a given array:
def greatestProduct(array): greatestProductSoFar = array[0] * array[1] for i, iVal in enumerate(array): ...
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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.
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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.