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#javascriptinterviewquestions #datastructures #datastructuresandalgorithms In this Video, Learn how to analyze and optimize your code's efficiency and performance with Big O Notation, as we break down time and space complexities like O(1), O(n), O(n^2) in a fun and approachable way. This is the most Entertaining and Knowledge Packed Data Structures and Algorithms in Javascript Interview Course on Youtube ! ➡️ Book an Interview Preparation call with me - https://topmate.io/roadsidecoder 🟦 Follow me on Twitter and u will clear your interview 🤓 - / piyush_eon ➡️ Source Code - https://github.com/piyush-eon/dsa-wit... 🔗 Complete Data Structures and Algorithms with JS Course - • Data Structures and Algorithms in Jav... 🔗 Javascript Interview Questions Series - • Javascript Interview Questions ( Var,... 🔗 Frontend Machine Coding Interview Series - • Frontend Machine Coding Interview Que... 🔗 Cars24 Interview Experience - • Frontend Interview Experience (Cars24... 🔗 Unacademy Interview Experience - • Frontend Interview Experience (Unacad... 🔗 Tazorpay Interview Experience - • Frontend Interview Experience (TazorP... 🔗 MERN Stack Tutorial with Redux - • MERN Stack Project Tutorial with Redu... 🔗 React Beginner's Project Tutorials - • React JS Project Tutorials 🔥🔥 ------------------------------------------------------------------------- 00:00 Intro 00:11 What is BigO Notation? 00:53 Time Complexity Example 03:20 Metric for Time Complexity 04:42 Example 2 - Time Complexity 07:23 Big O Time Complexity O(1) and O(n) 08:33 Comparing Our Previous Codes 08:56 O(n^2) Time Complexity 10:27 Big O Visual Representation 11:36 Other Time Complexities 12:06 Space Complexity 12:48 Examples of Space Complexity 14:23 Calculating Space Complexity 16:01 O(1) and O(n) Space Complexity 16:51 O(n^2) Space Complexity ------------------------------------------------------------------------- ⭐ Support the channel and learn from me One on One - / @roadsidecoder Special Thanks to our members -