Normalize columns of pandas data frame

I have a dataframe in pandas where each column has different value range. For example:

df:

A     B   C
1000  10  0.5
765   5   0.35
800   7   0.09

Any idea how I can normalize the columns of this dataframe where each value is between 0 and 1?

My desired output is:

A     B    C
1     1    1
0.765 0.5  0.7
0.8   0.7  0.18(which is 0.09/0.5)