Get The Ultimate Guide To
Big O Notation

What is Big O notation, anyway?

Big O notation is the language we use to articulate how long it takes an algorithm to run. In the simplest terms, it’s a way of using not-boring math to measure code’s efficiency.

And believe it or not, getting the hang of it is way easier than you might think (no CS degree required). Learning Big O Notation won't just make you better at interviews一it'll also make you a better, more well-rounded engineer.

Why do employers care if you can do fancy math?

Many coding interview questions have a bad answer, a good answer, and a great answer. And they all solve the problem correctly. So what's the difference between them?

Efficiency. Which we reason about with Big O Notation. Learning it is about showing companies that you're the kind of person who writes code that doesn't just work, but works efficiently. That's what interviewers look for.

With that in mind, we created our free downloadable PDF, The Ultimate Guide to Big O Notation.

It’s designed to skip the boring proofs and give you an intuitive understanding of Big O Notation, so you can start using it to impress your interviewers right away. Here’s what we cover inside . . .

A detailed breakdown of the Big O notation format and what each aspect corresponds to when applied to an algorithm. (And how it all ties together without requiring you to do in-depth math.)

Plenty of step-by-step examples that show analysis in action. (And how to score bonus points during interview questions by showing off your optimization knowledge.)

When to use Big O analysis, and when it doesn’t quite apply. (And how to judge whether code optimization is appropriate for the specific situation.)