2.1. ObjectivesΒΆ
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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