What is Big O Notation, and Why You Should Care

In this video, I explain Big O Notation and Time Complexity and give you a few code examples to show you how they are calculated. I specifically cover Constant, Logarithmic, Quadratic and Exponential and explain why the Fibonacci sequence isn't really O(2^n).
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⏳ TIMESTAMPS
00:00 Introduction
00:57 Constant
01:41 Logarithmic
02:34 Linear
03:50 Quadratic
04:59 Exponential
06:00 Fibonacci not 2
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[@M4x1muZ]

What a goldmine your channel has been! Huge fan!

[@alexhyettdev]

Thank you, that’s so kind!

[@catharperfect7036]

Best explanation I've found of this.

[@alexhyettdev]

Thank you! I am glad I could help.

[@WolfElectronicS]

Constant time should be O(1) in 00:25 right?

[@alexhyettdev]

Yes you are right, typo sorry. I have it as O(1) in the graph view.

[@WolfElectronicS]

@@alexhyettdev yeah just saw it few seconds after my comment. Just discovered your channel and I'm really enjoying it, thank you!