Software Development
Blackjack Game
Jun 2025
A Blackjack game built with Python and Pygame featuring a persistent four-deck shoe, automated dealer logic, natural Blackjack detection, dynamic Ace scoring, and win/loss tracking.
Project Overview
What I built
The Blackjack project was built to practise state management, probability-based game mechanics, and reusable program logic. The application maintains a persistent four-deck shoe across multiple hands while tracking player actions, dealer behaviour, outcomes, and session records.
Challenge
The problem I needed to solve
The program needed to correctly handle dynamic Ace values, natural Blackjack, dealer behaviour, repeated hands, and a multi-deck shoe without incorrectly duplicating cards or resetting the deck after every round.
Approach
How I approached it
I developed structured deck and hand-management logic in Python and Pygame, including hit and stand controls, automatic dealer play, natural Blackjack detection, dynamic Ace scoring, bust handling, win/loss/push tracking, and automatic shoe replenishment when cards run low.
Implementation
Key implementation details
- Implemented a persistent four-deck shoe that carries remaining cards across multiple hands.
- Added automatic shoe replenishment when the number of remaining cards becomes low.
- Implemented natural Blackjack detection for both player and dealer, including Blackjack-versus-Blackjack pushes.
- Handled dynamic Ace values while calculating the strongest valid hand total.
- Built hit, stand, dealer draw, bust, win, loss, and push logic with safe event handling.
- Tracked wins, losses, and draws across repeated rounds through an interactive Pygame interface.