Just wondering if somebody would be kind enough to review my code and point out anywhere (everywhere :)) I could improve. I've written a Martingale betting simulator which automatically plays the Martingale system on red/black, using American Roulette odds, and then prints out a graph detailing it's progress when it inevitably loses. The project is meant as an introduction to Oblect Oriented Design in Python. Python 3.6 (code should also work for Python 2.7) pytest Notes. Monte Carlo simulations help to explain the impact of risk and uncertainty in prediction and forecasting models. Thinking about going back to school to do a maths/CS degree to get into data science. following the guidance and design principles outlined in the book Building Skills in Object-Oriented Design (Python Version). In summary: A Monte Carlo simulation is a model used to predict the probability of a variety of outcomes when the potential for random variables is present. I am trying to learn Python in my spare time.
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