Bayesian Scenario by Python:

The code will be accessed using two requests:

1) make_me_a_set(n, A, B, B_A)

2) make_me_a_set(n, A, B, B_A, B_notA)

Each of these functions should return a pandas data frame which meets the parameters.

Ideally these sets would be randomly generated rather than simply prescribed but it is up to you.

the df will be of form

A, B

1,1

0,1

1,1

....

1 and 0 may be replaced with True and False if you wish.