I try my best not miss any data and hope it's a complete question as well. Need the code.

\fwrite a Python program in Jupyter Notebook to create an EXCEL spreadsheet model, in which the data are: n = the number of different types of items that are to be loaded today m = the number of available trucks ki = the number of items of type i that are to be loaded today (i = 1, ..., n) wi = the weight of item type i (i = 1, ..., n) " = the weight capacity of truck / (j = 1, ..., m) For the paper model, you want to find values for the following variables: X = the number of item type i to load on truck / (i = 1, ..., n; j = 1, ..., m) I; = 1 if truck j is used and 0 if truck j is not used (j = 1, ..., m) so as to Min E ; T; s. t. Weight Capacity Constraint Eimixisc Ti (j = 1, ...,m) Demand Constraints Ei Xy = ki (i = 1, ..., n) Logical Constraints All X 2 0 and integer; and 7, = 0 or 1 for j = 1, ..., m