3.1. Objectives

• To understand why algorithm analysis is important.

• To be able to use “Big-O” to describe execution time.

• To understand the “Big-O” execution time of common operations on Python lists and dictionaries.

• To understand how the implementation of Python data impacts algorithm analysis.

• To understand how to benchmark simple Python programs.

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