July 2018
Beginner
202 pages
5h 4m
English
In this chapter, we gave an introduction to algorithmic complexity and the notation to describe it. We have shown you how big O notation can be used to describe how well an algorithm scales as the input gets bigger. We have also seen various examples of complexities and shown you how you can intuitively differentiate between them. Understanding big O notations comes in handy when you need to design and implement new solutions or when you are diagnosing performance issues.
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