Python, Pandas, Data Science, Machine Learning, Pandas Dataframe.
df["Salary"] * 0.6 df["Salary_After_Tax"].memory_usage(index=False, deep=False) #8000000 df["Salary_After_Tax"] = df["Salary_After_Tax"].astype('float16') df["Salary_After_Tax"].memory_usage(index=False, deep=False) #2000000 #categorical df["Car"].memory_usage(index=False, deep=False) #8000000