# imports random<br /> import random<br /> # randint generates a random integar between the first parameter and the second<br /> print(random.randint(1, 100))<br /> # random generates a random real number in the interval [0, 1)<br /> print(random.random())

# imports random<br /> import random<br /> # randint generates a random integar between the first parameter and the second<br /> print(random.randint(1, 100))

import random</p> <p># print a random integer number between 1 – 2 The stop number is not included<br /> print(random.randrange(start=1, stop=3))</p> <p># print a random integer number between 1 – 2 The stop number is included<br /> print(random.randint(1, 2))</p> <p># print a random float number between two numbers the end number is also included in the random selection<br /> print(random.uniform(1, 2))</p> <p># generates random bits – print a random 8 bit integer<br /> print(random.getrandbits(8))</p> <p># print a random choice from an iterable object<br /> # prints 1, 2 or 3<br /> print(random.choice([1, 2, 3]))</p> <p># prints a, b or c<br /> print(random.choice(‘abc’))</p> <p># print random choices from an iterable object<br /> # population is the iterable object. weights if for the possibility of outcome, k is for how many items to returns<br /> # weights and k arguments are optional</p> <p># print a list of 10 heads or tails with an equal chance that it will be heads or tails<br /> print(random.choices(population=[“heads”, “tails”], weights=[.5, .5], k=10))</p> <p># print a list of 10 heads or tails with a more likely chance of tails chance that it will be heads or tails<br /> print(random.choices(population=[“heads”, “tails”], weights=[2, 10], k=10))</p> <p># stuff a list and print the list in shuffled ordered<br /> mylist = [1, 2, 3]<br /> random.shuffle(mylist)<br /> print(mylist)</p> <p># return a random sample of an iterable – k is the number of the sample to return<br /> # print two random characters from a string abc<br /> print(random.sample(population=”abc”, k=2))</p> <p># print 3 random list items from a list<br /> print(random.sample(population=[1, 2, 3, 4], k=3))</p> <p># print a random number float between two numbers the mode allows a higher possible toward either the low or high value<br /> # the mode in this example will print a random float more closes to the high value of 50<br /> print(random.triangular(low=10, high=50, mode=40))</p> <p>

#import random<br /> import random</p> <p>names = [‘Harry’, ‘John’, ‘Smith’, ‘Larry’]</p> <p>#print random name from names<br /> print(random.choice(names))</p> <p>#print random integer in a range of numbers<br /> print(random.randint(1, 100)

#imports<br /> import random<br /> #randint generates a random number between the first set and the second set of parameters<br /> x = random.randint(1, 100)<br /> print(x)

from random import randint<br /> randint(0,5)#0<=randomNumber<=5

import random<br />  <br /> random.seed(1)<br />  <br /> # Get the state of the generator<br /> state = random.getstate()<br />  <br /> print(‘Generating a random sequence of 3 integers…’)<br /> for i in range(3):<br />     print(random.randint(1, 1000))<br />  <br /> # Restore the state to a point before the sequence was generated<br /> random.setstate(state)<br /> print(‘Generating the same identical sequence of 3 integers…’)<br /> for i in range(3):<br />     print(random.randint(1, 1000))

from random import randint # Import randint from random<br /> print(randint(1,20)) # Gets random number from first parameter to the second

print(random.randint(1, 100))<br /> print(random.random())

# I know somebody else has made a similar thing from mine.<br /> # Just letting you know that I didn’t mean to copy his idea for this code.<br /> # If you saw this, I recommend check the other answers out, too.<br /> # Hope you guys understand…<br /> from random import randint</p> <p># Prints a random number in between 1 and 1000<br /> print(f”Here is a random number: {randint(1, 1000)}”)