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

📚 RECOMMENDED BOOKS
Software Development
Clean Code - https://geni.us/5AEwj2
Clean Architecture - https://geni.us/yBrTX
Domain Driven Design - https://geni.us/WiR0Q0x
Design Patterns - https://geni.us/5ncUt
Developer Hegemony - https://geni.us/lAXy
Pragmatic Programmer - https://geni.us/GfNj9
Data Structures and Algorithms Made Easy - https://geni.us/sqg6kJ
Refactoring - https://geni.us/ufAP0mE
The Productive Programmer - https://geni.us/IT9WiN
Pragmatic Thinking and Learning - https://geni.us/x81A
Test Driven Development - https://geni.us/HFV52
Microservices - https://geni.us/8vMA

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🧑‍💻WHO AM I
I’m Alex, a Software Developer and YouTube working in the UK. I make videos about software development to help developers with the skills they need to be senior developers. As well as this YouTube Channel, I also write articles on my website (https://alexhyett.com) as well as write a regular newsletter that contains some thoughts to help aspiring developers.

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