5 different ways explained
Code

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

def dropMissingData(students: pd.DataFrame) -> pd.DataFrame:
    # Using df.dropna(subset='col_name')
    students.dropna(subset='name')

    # Using boolean indexing
    students[students['name'].notnull()]

    # Using query method
    students.query('name.notna()')

    # Using negation 
    students[~students['name'].isna()]

    # Using notna()
    return students[students['name'].notna()]
```
['Pandas']