Big O Notation Deep Dive | The Skill That Gets You Hired
Big O notation is the first thing you'll be tested on in any serious coding interview: Google, Amazon, Meta, all of them. Yet most engineers memorize a chart instead of actually understanding how to analyze code. This video fixes that.
We build a clear mental framework you can apply to ANY piece of code to figure out its time and space complexity yourself.
TIMESTAMPS
00:00 Why Big O matters for interviews
00:52 What Big O actually measures
01:03 The duplicates example (why scale matters)
01:45 Shape of growth, not exact seconds
02:27 Counting operations, not seconds
03:19 O(n): finding the largest number
03:52 Dropping constants and lower-order terms
04:39 O(1) constant time
05:33 O(n) linear time
06:28 O(n²) quadratic time
07:23 O(log n) logarithmic time
08:02 Binary search, walked through
09:15 O(n log n) sorting
10:07 O(2^n) exponential
11:30 O(n!) factorial
12:41 All complexity classes in one graph
13:23 The 6-step framework for any code
16:08 Tricky problems that fool people
21:50 Two Sum: mediocre vs strong candidate
24:14 Recap
25:13 Which part clicked for you?
📚 Related Resources:
→ System Design Course: https://academy.bytemonk.io/courses
→ ByteMonk Blog: https://blog.bytemonk.io/
→ LinkedIn: / bytemonk
→ Github: https://github.com/bytemonk-academy
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