Blackjack software suite for text-based blackjack play offering a variety of features

• Intuitive play supporting multiple players
• Highly configurable gameplay parameters to facilitate experimentation with strategies
• Editable basic strategy policies to allow heads-up strategy training
• Various counting methods that can be integrated into play or betting
• Verbose logging features to track player progress and configuration effects

Initial features

• Test-driven development of Blackjack model
• Pluggable human play supporting human input, basic strategy, and counting
• Simulation to test probabilities against empirical results
• Various shuffling algorithms
• Configurable options such as payout ratios, S17, surrender, DAS, ...

Future Features

• extend application to include a GUI
• implement Markov learning deterministic process for online learning of basic strategy
  • manipulate configurations to learn optimal strategies under various scenarios

This is a Python-based exercise in software development to gain experience in TDD and practice writing extensible code in a flexible language.