import random

MAX = 10

for x in range(MAX):
    val = random.randint(0, 1)
    print(val)

0
1
1
0
1
0
1
1
0
0

import numpy as np
import pandas as pd

df = pd.DataFrame(np.random.randint(5, size = (5, 4)))

df

import numpy as np
import pandas as pd

# Create Random integer between 1 to 100

df = pd.DataFrame(np.random.randint(0, 100, size=(2, 4)), columns=['A', 'B', 'C', 'D'])

df

import numpy as np

a = np.random.randint(2, 10, size=4)

print(a)

[8 4 5 3]

import random

MAX = 8

for x in range(MAX):
    val = random.randint(14, 30)
    print(val)

17
21
27
30
17
22
14
20

import numpy as np
import matplotlib.pylab as plt

a = np.random.randint(10, size=20)

a

array([2, 5, 5, 4, 9, 0, 4, 9, 0, 1, 9, 7, 9, 7, 1, 5, 7 …

import random as rd

def get_random():
    return rd.randint(0, 100)

get_random()

61

def get_random_year_duration():
    return round(rd.uniform(1,2), 1)

get_random_year_duration()

1.6

def get_random_price():
    return round(rd.uniform(1, 100), 2)

get_random_price()

43.21

def …

import numpy as np
import pandas as pd

df = pd.DataFrame(np.random.randn(4000, 4), index=pd.date_range('1/1/2000', periods=4000), columns=list('ABCD'))

df.head()

import numpy as np
import pandas as pd

df = pd.DataFrame(np.random.randn(100, 4), index=pd.date_range('1/1/2000', periods=100), columns=list('ABCD'))

df.head()

from random import randrange
import datetime

def random_date(start,l):
   current = start
   while l >= 0:
      curr = current + datetime.timedelta(minutes=randrange(60))
      yield curr
      l-=1

def get_random_timestamp(max):
    startDate = datetime.datetime(2013, 9, 20,13 …