Suppose that after we import the random module, we define the following function called diff in a Python session:

Q. Suppose that after we import the random module, we define the following function called diff in a Python session:

import random
def diff():
    x = random.random() - random.random()
    return(x)

What would be the result you now evaluate?

y = diff ()
print(y)

At the Python prompt? Give reasons for your answer.

Answer =

It will give the output subtracted number which is generated by random() function. Because random() function generate number between 0.0 <= N < 1.0

Some Output for better understanding :-

1 :-  -0.08899059831340761

2 :-  -0.2641307615748565

3 :-  -0.15186117416700495

4 :-  0.5870958926221614

5 :-  -0.2991020123554199

6 :-  -0.45002944998189875

7 :-  0.4451795771419502

8 :-  -0.33269355525380184

9 :-  0.5233832432345172

10 :-  0.7344604783929822

11 :-  -0.028943564053555915

12 :-  0.16439666433585232

13 :-  0.317636935547817

14 :-  0.44553269551591845

15 :-  0.015251629144331424

16 :-  0.7722477175533216

17 :-  0.0807607571525909

18 :-  -0.19780025106287358

19 :-  -0.6512724035723381

20 :-  -0.19621143322562284

21 :-  -0.8873166055441549

22 :-  -0.37079230501758675

23 :-  -0.012913835806743101

24 :-  0.3038462912028028

25 :-  -0.0569014338024979

26 :-  -0.15045140374071397

27 :-  -0.20514096935129555

28 :-  0.2749349342382562

29 :-  0.2195598123152971

30 :-  0.2864659293539621

31 :-  0.0020003659796330453

32 :-  -0.26333435183003484

33 :-  0.2603235786925564

34 :-  0.5864791308718348

35 :-  -0.34370551272037597

36 :-  -0.6989819667988909

37 :-  0.13587891222331894

38 :-  0.12798341040417194

39 :-  -0.06006837593122005

40 :-  -0.020941316180658087

41 :-  0.3685826496714467

42 :-  -0.5481646226089292

43 :-  -0.32101939740686736

44 :-  0.7690879070269044

45 :-  0.4617059793960374

46 :-  -0.01567810888965271

47 :-  0.2938084457377379

48 :-  0.7963510213756534

49 :-  0.3776569511633776

50 :-  0.6026907983808092

51 :-  -0.4645343436359939

52 :-  0.09246271684865981

53 :-  0.33929236137662844

54 :-  -0.45436488460802993

55 :-  -0.3162836377604257

56 :-  0.2371042977119595

57 :-  -0.23864315352676613

58 :-  0.08549600373547384

59 :-  0.4268612648745115

60 :-  0.010642423736502704

61 :-  -0.8680676998728768

62 :-  -0.6497320135997704

63 :-  -0.25611959875915524

64 :-  0.04661442907891489

65 :-  -0.33677947975960654

66 :-  0.5782747346604402

67 :-  0.642824969324424

68 :-  0.019571296358947277

69 :-  0.292719040415521

70 :-  -0.49574999785534646

71 :-  -0.0052403617274083825

72 :-  -0.3514797919574346

73 :-  0.24318644994122385

74 :-  -0.4689885086460496

75 :-  0.0030274740898672547

76 :-  -0.9114980104720262

77 :-  -0.5021968162269186

78 :-  0.3473953756783549

79 :-  0.4276490952976083

80 :-  -0.15490754885590852

81 :-  0.9354293681962358

82 :-  0.1368607966390598

83 :-  0.2289369195518698

84 :-  0.17930748854294487

85 :-  0.31328075095305497

86 :-  -0.25973246463624033

87 :-  0.04436015061018217

88 :-  -0.42274351990269443

89 :-  0.1965569155379837

90 :-  -0.3695184856852263

91 :-  -0.0590596959908023

92 :-  -0.2998284321184145

93 :-  0.7095715984932236

94 :-  0.7719400187155329

95 :-  -0.21533912303460734

96 :-  0.6902199668118129

97 :-  -0.37372076373709495

98 :-  0.6033248052944022

99 :-  -0.3641489369194252

100 :-  0.32866375110293833

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