easy solution
easy solution using "dropna" function, parameters specify the name column and to remove the rowsCode
easy solution using "dropna" function, parameters specify the name column and to remove the rows

# Code
```pythondata []
import pandas as pd

def dropMissingData(students: pd.DataFrame) -> pd.DataFrame:
    students.dropna(subset = 'name', inplace=True)
    return students
    
```
['Pandas']