Tweety | Markov Bot based on bigram probabilities | Bot library

I would like to extract the first observations of different groups from a dataframe. The number of observations comes from another dataframe.

Here is an example: In dataframe "x" there are different groups of animals with their names.

In previous question, we built a simple forward chaining in Prolog together with the user slago, and solved some problems about it. Code for forward chaining:

Hello i want to auto-fill the cell and fill with "The Tweety House" as that one is the highest "$ Result"(111.111), i dont know how to do that maybe someone here can help me to figure it out.

Thank you

in my previous question's best answer, I found a good example of forward chaining in Prolog. I have modified it a bit, but there is a problem with the last rule I tried to define (path). It doesn't work. With the current facts, I should be able to derive the path([a,b,c,d,e]), but it doesn't work.

Forward code:

I would like to implement forward-chaining reasoning in Prolog. I made up a simple KB of facts and some rules, from which I should be able to get the fact green(fritz). I tried to implement it but somehow, when member fails, it stops going on.

So I'm doing an assignment.My task is to create a class that prints out the desired output in the question. My output matches the desired output except the None value. So Why am I getting None in my output after Total price. I see nothing in my code that should print None. My Code:

I have a project in Code::Blocks. In my resource.rc file I have

I am trying to pass some form data to my app from a Code Engine ping subscription. In the create command, I have tried different methods to pass the data as part of the POST request, but it resulted in wrong parameters at runtime when the ping event fired.

This question is about the preferred way to retrieve grouped data from a database to an application. I have a schema with tables in a 1:n relationship. For example let's say it's owner:pet: