Data Structures & Algorithms | Big O Notation
An introduction to Big O ("Big Oh") - how time and space complexity is calculated and it's importance. It will be mentioned throughout the rest of the course so if you don't understand it now like I didn't when I first tried learning it, don't worry! Practice will drill it in :)
Part 1: • Data Structures & Algorithms | Arrays 1 - RAM
Part 2 : • Data Structures & Algorithms | Arrays 2 - ...
View more: https://nickderaj.com/youtube/dsa-big-o
If it helped, leave a like and comment on what you'd like to see in future videos! ✌️
Chapters:
0:00 Introduction
1:21 The Graph
2:40 O(1)
4:32 O(n)
8:10 O(log n)
12:20 O(n^2)
15:55 Summary