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Python Programming, 3/e

Python Programming: An Introduction to Computer Science. Chapter 9 Simulation and Design. Python Programming, 3/e. 1. Objectives. Python Programming, 3/e. 1. Objectives. Python Programming, 3/e. 1. Simulating Racquetball. Python Programming, 3/e. 1. A Simulation Problem.

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Python Programming, 3/e

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  1. Python Programming:An Introduction toComputer Science Chapter 9Simulation and Design Python Programming, 3/e 1

  2. Objectives Python Programming, 3/e 1

  3. Objectives Python Programming, 3/e 1

  4. Simulating Racquetball Python Programming, 3/e 1

  5. A Simulation Problem Python Programming, 3/e 1

  6. Analysis and Specification Python Programming, 3/e 1

  7. Analysis and Specification Python Programming, 3/e 1

  8. Analysis and Specification Python Programming, 3/e 1

  9. Analysis and Specification Python Programming, 3/e 1

  10. Analysis and Specification Python Programming, 3/e 1

  11. Analysis and Specification Python Programming, 3/e 1

  12. PseudoRandom Numbers Python Programming, 3/e 1

  13. PseudoRandom Numbers Python Programming, 3/e 1

  14. PseudoRandom Numbers Python Programming, 3/e 1

  15. PseudoRandom Numbers Python Programming, 3/e 1

  16. PseudoRandom Numbers Python Programming, 3/e 1

  17. PseudoRandom Numbers Python Programming, 3/e 1

  18. PseudoRandom Numbers >>> from random import randrange >>> randrange(1,6) 5 >>> randrange(1,6) 3 >>> randrange(1,6) 2 >>> randrange(1,6) 5 >>> randrange(1,6) 5 >>> randrange(1,6) 5 >>> randrange(1,6) 4 Python Programming, 3/e 1

  19. PseudoRandom Numbers Python Programming, 3/e 1

  20. PseudoRandom Numbers Python Programming, 3/e 1

  21. PseudoRandom Numbers >>> from random import random >>> random() 0.79432800912898816 >>> random() 0.00049858619405451776 >>> random() 0.1341231400816878 >>> random() 0.98724554535361653 >>> random() 0.21429424175032197 >>> random() 0.23903583712127141 >>> random() 0.72918328843408919 Python Programming, 3/e 1

  22. PseudoRandom Numbers Python Programming, 3/e 1

  23. PseudoRandom Numbers Python Programming, 3/e 1

  24. PseudoRandom Numbers Python Programming, 3/e 1

  25. Top-Down Design Python Programming, 3/e 1

  26. Top-Level Design Python Programming, 3/e 1

  27. Top-Level Design Python Programming, 3/e 1

  28. Top-Level Design Python Programming, 3/e 1

  29. Top-Level Design Python Programming, 3/e 1

  30. Top-Level Design Python Programming, 3/e 1

  31. Top-Level Design Python Programming, 3/e 1

  32. Top-Level Design Python Programming, 3/e 1

  33. Top-Level Design Python Programming, 3/e 1

  34. Separation of Concerns Python Programming, 3/e 1

  35. Separation of Concerns Python Programming, 3/e 1

  36. Separation of Concerns Python Programming, 3/e 1

  37. Separation of Concerns Python Programming, 3/e 1

  38. Separation of Concerns Python Programming, 3/e 1

  39. Second-Level Design Python Programming, 3/e 1

  40. Second-Level Design Python Programming, 3/e 1

  41. Second-Level Design Python Programming, 3/e 1

  42. Designing simNGames Python Programming, 3/e 1

  43. Designing simNGames initialize winsA and winsB to 0loop n times simulate a game if playerA wins add one to winsA else add one to winsB Python Programming, 3/e 1

  44. Designing simNGames Python Programming, 3/e 1

  45. Designing simNGames Python Programming, 3/e 1

  46. Designing simNGames Python Programming, 3/e 1

  47. Designing simNGames def simNGames(n, probA, probB): # Simulates n games of racquetball between players A and B # RETURNS number of wins for A, number of wins for B winsA = winsB = 0 for i in range(n): scoreA, scoreB = simOneGame(probA, probB) if scoreA > scoreB: winsA = winsA + 1 else: winsB = winsB + 1 return winsA, winsB Python Programming, 3/e 1

  48. Designing simNGames Python Programming, 3/e 1

  49. Third-Level Design Python Programming, 3/e 1

  50. Third-Level Design Python Programming, 3/e 1

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