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To construct a table using information from a CSV file in Python, you can use the pandas library. Here are the steps:

1. Import the pandas library:

import pandas as pd

1. Read the CSV file using the read_csv() method:

df = pd.read_csv('file.csv')

1. Display the table using the head() method:

print(df.head())

This will display the first five rows of the table. You can also specify the number of rows to display by passing an argument to the head() method:

print(df.head(10))

This will display the first ten rows of the table.

You can also perform operations on the table, such as filtering, sorting, and aggregating data using pandas methods.