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  Pandas Tutorial   Python Pandas Interview Question Pandas is a powerful Python library for data analysis and manipulation. It provides easy-to-use data structures and data analysis tools for handling and manipulating large amounts of data. Here are some common pandas interview questions and examples: How do you read a CSV file into a pandas DataFrame? import pandas as pd df = pd.read_csv( 'file.csv' ) How do you select a column from a DataFrame? # Select the "age" column   df[ 'age' ] # You can also use the dot notation   df.age How do you select multiple columns from a DataFrame? # Select the "age" and "name" columns   df[[ 'age' , 'name' ]] How do you select rows from a DataFrame based on a condition? # Select rows where the age is greater than 30   df[df.age > 30 ] How do you group a DataFrame by a column and calculate the mean of each group? df.groupby( 'gender' ).mean() How do you handle missing values in...