Modify a data structure : Big O Notation and Calculating the Runtime of a Function

The video introduces Big O notation, a method to classify algorithm scalability and runtime efficiency. It covers different time complexities: constant (O(1)), linear (O(n)), exponential (O(n^2)), and logarithmic (O(log n)), using examples to illustrate each. The video emphasizes the importance of understanding these concepts for efficient programming.

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