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Focuses on advanced pandas functions for data manipulation, exploration, and visualization with Python, emphasizing the importance of understanding and preparing data.
Explores time-determinator model checking, U-Pool scheduling, worst-case execution time analysis, and statistical model checking for cyber-physical systems.
Explores dominant balance analysis in solving the quintic polynomial, revealing insights into root behavior and the importance of symbolic expressions.
