monte carlo simulator with Python tutorial

Two dimensional charting monte carlo




import matplotlib
import matplotlib.pyplot as plt
import csv

def graph():
    with open('monteCarloLiberal.csv','r') as montecarlo:
        datas = csv.reader(montecarlo, delimiter=',')
        for eachLine in datas:
            percentROI = float(eachLine[0])
            wagerSizePercent = float(eachLine[1])
            wagerCount = float(eachLine[2])
            pcolor = eachLine[3]

            plt.scatter(wagerSizePercent,wagerCount,color=pcolor)

    plt.show()
            
graph()
		
monte carlo simulator with Python tutorial

The next tutorial:





  • Monte Carlo Introduction
  • Monte Carlo dice Function
  • Creating a simple Bettor
  • Plotting Results with Matpltolib
  • Martingale Strategy
  • Bettor Statistics
  • More comparison
  • Graphing Monte Carlo
  • Fixing Debt Issues
  • Analyzing Monte Carlo results
  • Using Monte Carlo to find Best multiple
  • Checking betting results
  • D'Alembert Strategy
  • 50/50 Odds
  • Analysis of D'Alembert
  • Comparing Profitability
  • Finding best D'Alembert Multiple
  • Two dimensional charting monte carlo
  • Monte Carlo Simulation and Python
  • Labouchere System for Gambling Tested