How I Mastered Baseball Simulation Logic: A Step-by-Step Breakdown
https://gist.github.com/f1d4a15db7c02052fc9a9e0783fab79c.git Today, I took a deep dive into the base_running logic of my Python baseball simulation. At first, the code felt like a black box, but by...

Source: DEV Community
https://gist.github.com/f1d4a15db7c02052fc9a9e0783fab79c.git Today, I took a deep dive into the base_running logic of my Python baseball simulation. At first, the code felt like a black box, but by breaking it down line by line and using metaphors like "Excel SUM," I finally claimed ownership of the logic. Here is how it works. The "Clean Slate" Strategy (scored = 0) Before any play begins, we must reset the current plate's score. This ensures that runs from the previous batter don't bleed into the current one. It's a temporary "basket" for the current hit's results. Handling Home Runs with "Excel Logic" Python if advance == 4: scored = sum(self.bases) + 1 I applied my knowledge of Excel's SUM function here. We treat True as 1 and False as 0. By summing the bases and adding 1 (the batter), we get the total runs instantly. Simple and elegant! The "Anti-Collision" Reverse Loop Python for i in range(2, -1, -1): # Checking 3rd -> 2nd -> 1st base This is the most critical part. To pre