WIP Intended to allow me to simulate a large number of plays of the game Shut the Box using different strategies, generating and saving data about the outcomes of each game (essentially Monte Carlo experiments)
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Writes some steps
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Simulate a Single Game with the simplest strategy
- Write high level pseudocode
- pseudocode for helper functions
- implement and test the helper functions
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Save game data to the disk
- Need to think about what I care to save. Better too much than too little but could start simple
- pick a format. Probably CSV
- One table or multiple?
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Update the code to simulate an arbitrary number of games
- constant value or command line input the number
- probably just a for loop over the step two code
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Define multiple game strategies and update the game simulator to use a chosen one
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Write steps for EDA
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Start with a separate .ipynb file
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import the json data
- read the file into memory
- convert it into a pandas DataFrame?