Question: - Create a pandas dataframe using multiple series - The dataframe has three columns - 'profession': [basketball, American football, soccer] - 'age' :[38, 45, 35]

![has three columns - 'profession': [basketball, American football, soccer] - 'age' :[38,](https://dsd5zvtm8ll6.cloudfront.net/si.experts.images/questions/2024/09/66f3314764dac_89466f33146cee93.jpg)
- Create a pandas dataframe using multiple series - The dataframe has three columns - 'profession': [basketball, American football, soccer] - 'age' :[38, 45, 35] - 'salary' :[ 45 million , 15 million, 41million] - The index should be lebron_James, Tom_Brady, Leo_Messi - Based on the first assignment - Add a new player name Kevin_Durant, and you can search the three information(profession, age, and salary) from google - Add a new column with their weight
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