Python, Pandas, Data Science, Machine Learning, Pandas Dataframe.
df %timeit normalize_for_iloc(df, min_salary, max_salary) #13.8 s ± 29.5 ms per loop (mean ± std. dev. of 7 runs, 1 loop each) def normalize_for_iloc(df, min_salary, max_salary): normalized_salary = np.zeros(len(df, )) for i in range(df.shape[0]): normalized_salary[i] = (df.iloc[i]["Salary"] -