
Before diving into the specifics, let’s look at why developers should consider Big O Notation when writing algorithms. Big-O tells you the complexity of an algorithm in terms of the size of its inputs. This is essential if you want to know how algorithms will scale.
If you need to design a big website and expect a lot of users, the time it takes you to handle user requests is critical. If the expectations are to store a large amount of data in a structure then you will need to know how to do that efficiently otherwise you could end up writing something that takes a million years to process, creating a terrible user experience (UX). Ultimately, Big-O notation helps you determine which algorithms are fast, which are slow, and the tradeoffs.
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