<prompt> Ho fanoe ka dataframe ea litlaleho tsa basebetsi, arola basebetsi ka lilemo le bong.Basebetsi DF: Lebitso Lilemo Bong John 35 Monna Kendra 25 Mosali Jared 21 Monna Rita 32 E tšehali  <response>: Instruction in English: Given a dataframe of employee records, group the employees by age and gender. . Response in English: pythonimport pandas as pd Create the DataFramedata Name: John, Kendra, Jared, Rita, Age: 35, 25, 21, 32, Gender: Male, Female, Male, Female employees_df pd.DataFramedata Group the employees by Age and Genderemployees_grouped employees_df.groupbyAge, Gender Display the grouped DataFrameprintemployees_grouped.firstThe output will be a DataFrame that groups the employees by age and gender with their corresponding name: NameAge Gender 21 Male Jared25 Female Kendra32 Female Rita35 Male John . Response in Sesotho: python import pandas as pd Create DataFrame data Name: John, Kendra, Jared, Rita, Age: 35, 25, 21, 32 , Bong: Monna, Mosali, Monna, Mosali basebetsi_df pd.DataFramedata Kopanya basebetsi ho ea ka Lilemo le Tekano basebetsi_hlopha basebetsi_df.groupbyAge, Gender Bontša khatiso e hlophisitsoeng ea DataFramebasebetsi_ba kopane.first Sephetho e tla ba DataFrame e arolang basebetsi ho ea ka lilemo le bong ka mabitso a bona a tsamaisanang le bona: Lebitso Age Gender 21 Male Jared 25 Male Kendra 32 Male Rita 35 Male John 