select rows which entries equals one of the values pandas

In[10]: df
Name     Amount
---------------
Alice       100
Bob          50
Charlie     200
Alice        30
Charlie      10

In [11]: df['Name'].isin(['Alice', 'Bob'])
Out[11]: 
0     True
1     True
2    False
3     True
4    False
Name: Name, dtype: bool

In [12]: df[df.Name.isin(['Alice', 'Bob'])]
Out[12]: 
    Name  Amount
0  Alice     100
1    Bob      50
3  Alice      30

Here is what the above code is Doing:
1. df[‘Name’].isin([‘Alice’, ‘Bob’]) returns a boolean Series, which is a Series of True/False values.
2. df[df.Name.isin([‘Alice’, ‘Bob’])] returns a DataFrame for which the boolean Series is True.