Section 2.1 Objectives
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To understand why algorithm analysis is important.
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To be able to use Big O to describe execution time.
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To understand the Big O execution time of common operations on Python lists and dictionaries.
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To understand how the implementation of Python data impacts algorithm analysis.
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To understand how to benchmark simple Python programs.
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