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Effective Data Manipulation with pandas

Solution: DataFrames in pandas

Explore how to construct pandas DataFrames with multiple columns and rows, display specific data sections, and calculate average statistics. This lesson guides you through practical steps to manage and analyze data efficiently using pandas.

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Problem 1: Solution

Construct a DataFrame df consisting of 3 columns named Name, Age, and Marks with at least 12–15 elements for each column, and then display the first 10 rows of the DataFrame. ...