np.random.seed
import numpy as np
np.random.seed(42)
random_numbers = np.random.random(size=4)
random_numbersnp.random.seed
import numpy as np
np.random.seed(42)
random_numbers = np.random.random(size=4)
random_numberspython random
# imports random
import random
# randint generates a random integar between the first parameter and the second
print(random.randint(1, 100))
# random generates a random real number in the interval [0, 1)
print(random.random())random in python
print(random.randint(1, 100))
print(random.random())random.seed function in python
import random
random.seed(10)
print(random.random())random module in python
#Class Examples in random Module
>>> random() # Random float: 0.0 <= x < 1.0
0.37444887175646646
>>> uniform(2.5, 10.0) # Random float: 2.5 <= x < 10.0
3.1800146073117523
>>> expovariate(1 / 5) # Interval between arrivals averaging 5 seconds
5.148957571865031
>>> randrange(10) # Integer from 0 to 9 inclusive
7
>>> randrange(0, 101, 2) # Even integer from 0 to 100 inclusive
26
>>> choice(['win', 'lose', 'draw']) # Single random element from a sequence
'draw'
>>> deck = 'ace two three four'.split()
>>> shuffle(deck) # Shuffle a list
>>> deck
['four', 'two', 'ace', 'three']
>>> sample([10, 20, 30, 40, 50], k=4) # Four samples without replacement
[40, 10, 50, 30]Copyright © 2021 Codeinu
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