skkeyan_code.ipynb

Hi !!!!

A wonderful application of linear programming.

Thanks!!!

I believe that the third line should be:

import pandas as pd

instead of:

import padnas as pd

Best regards,

Gabriel

Great example.. practical linear programming application
Also, I second the pandas misspelling

Thank you

Great example.. practical linear programming application

Thanks for sharing and in #Create optimization Function, the code should be modified as follows.

Create optimization Function

total_views = ' '
for rownum, row in data.iterrows():
for i, talk in enumerate(decision_variables):
if rownum == i:
formula = row['views'] * talk
total_views += formula
prob += total_views

print('Optimization function: ' + str(total_views))

Very nice code and idea. Thank you for sharing. I used pulp.LpAffineExpression and dictionaries to define the objective function and constraint equations, it worked well.

I should also mention that one would get a different list with and without rounding. I guess this is because of the rounding process.