Write a python based script that estimates the values of a input to achieve the desired output

I have a the following dataset of pandas dataframes: A: col1 col2 0 5 3 1 5 4 B: col1 col2 0 6 4 1 2 4 my_list: [24.5, 65.4] Assume I have a dataset of thirty A,B,my_list pairs which have different sets of values. Changing a single or multiple values in either or both of the dataframes A and B affect the values in my_list. Provided that I want to achieve [65.0, 46.21] in my_list, I need to find out what values need to be present in A,B dataframes. Note that the dataset is as low as 30 samples and the number of columns can be more - I just put here two colums in dataframes to give you an idea. I want a python based developer to write a script that does that for me.