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Explanation:
The correct answer is A. Option A correctly imports the pandas library using the alias “pd” and then uses the read_csv function from pandas to read the CSV file “data.csv” into a DataFrame named “df”.
Option B is almost correct, but the header=0 argument is unnecessary unless you specifically want to override the default behavior of reading the first row as the column names. It doesn’t cause an error, but it’s not needed in this context.
Option C is incorrect because it tries to call read_csv directly without specifying the pandas module. The correct way is to use pd.read_csv.
Option D is incorrect because it uses an incorrect import statement (from pandas import pd) and attempts to call read_csv directly without specifying the pandas module. The correct way is to use pd.read_csv.
Overall, option A is the correct and most concise way to import pandas and read a CSV file into a DataFrame.
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