Measuring Algorithmic Complexity with Big O Notation

Algorithmic complexity is a way to describe the efficiency of an algorithm as a relation of its input. It can be used to describe various properties of our code, such as runtime speed or memory requirements. It's also a very important tool programmers should understand to write efficient software. In this section, we will start by describing a scenario, introducing the section, and then dive into the details of the various types of complexities and the different techniques to measure them.

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