🚀 https://neetcode.io/ - Get lifetime access to all current & future courses I create! Going over all of the common big O time and space complexities, with a focus on coding interviews. Checkout my second Channel: @NeetCodeIO 🥷 Discord: https://discord.gg/ddjKRXPqtk 🐦 Twitter: https://twitter.com/neetcode1 🐮 Support the channel: https://www.patreon.com/NEETcode Code from the video: https://neetcode.io/courses/lessons/big-o-notation ⭐ BLIND-75 PLAYLIST: https://www.youtube.com/watch?v=KLlXCFG5TnA 💡 DYNAMIC PROGRAMMING PLAYLIST: https://www.youtube.com/watch?v=73r3KWiEvyk 0:00 - Intro 0:43 - What is Big-O 1:48 - O(1) 2:55 - O(n) 6:35 - O(n^2) 9:30 - O(n * m) 10:02 - O(n^3) 10:45 - O(logn) 13:18 - O(nlogn) 14:58 - O(2^n) 17:30 - O(sqrt(n)) 18:26 - O(n!) 19:26 - Conclusion #coding #neetcode #python