2.1. 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.