Mastering Code Complexity: Understanding Big O Notation 

/ kevbeltrao
In this video, we dive deep into the world of code complexity and Big O notation using JavaScript examples. Whether you're a beginner or looking to refresh your knowledge, this tutorial will help you understand the different types of time complexities such as O(1), O(log(n)), O(n), O(n*log(n)), O(n^2), O(2^n), and O(n!). Special emphasis is placed on explaining O(log n) in a clear and visual manner. Learn how to analyze and optimize your code efficiently. Don't forget to like, subscribe, and hit the notification bell for more advanced JavaScript and TypeScript content!.