Linear Search vs Binary Search Explained Visually (with Code)
Two searching algorithms every developer needs cold for interviews: Linear Search and Binary Search. This video breaks both down visually — how they work, why one is O(n) and the other is O(log n), and a full Python implementation traced step by step.
🔊 English and Hinglish audio tracks available — tap the settings (⚙️) icon to switch.
⏱️ Chapters:
00:00 Intro
00:09 The Searching Problem
00:59 Linear Search Explained
01:40 Linear Search Walkthrough
02:18 Linear Search Time Complexity — O(n)
02:56 Limits of Linear Search
03:34 Why Binary Search? (Dictionary Analogy)
04:23 Binary Search: Divide and Conquer
05:11 Binary Search Walkthrough (Part 1)
05:51 Binary Search Walkthrough (Part 2)
06:33 Binary Search Time Complexity — O(log n)
07:12 Binary Search Summary
07:50 Binary Search in Python (Code)
08:31 Code Walkthrough
09:17 Tracing the Code (Part 1)
10:02 Tracing the Code (Part 2)
10:47 Linear vs Binary: When to Use Which
11:24 Wrap-Up & Next Video
Next video: Hash Functions.
#BinarySearch #LinearSearch #DSA #CodingInterview #AlgorithmsExplained