Python, Pandas, Data Science, Machine Learning, Pandas Dataframe.
min_salary) / (max_salary - min_salary) df["Normalized_Salary"] = normalized_salary return df %timeit normalize_for_iloc(df, min_salary, max_salary) #34.8 s ± 108 ms per loop (mean ± std. dev. of 7 runs, 1 loop each) def normalize_for_iterrows(df, min_salary, max_salary): normalized_salary =