This module implements random number generators for various distributions.
For integers, uniform selection from a range. For sequences, uniform selection of a random element, a function to generate a random permutation of a list in-place, and a function for random sampling without replacement.
The best way to learn new things is to take a practical approach of the things you want to learn. Lets take a simple example and think or assume that you want to build random function in Python:
For integers, uniform selection from a range. For sequences, uniform selection of a random element, a function to generate a random permutation of a list in-place, and a function for random sampling without replacement.
The best way to learn new things is to take a practical approach of the things you want to learn. Lets take a simple example and think or assume that you want to build random function in Python:
#Terminal command:
import random
print(random.randrange(1, 5))
print(random.randint(6, 22))
print(random.uniform(2, 3))
print(random.choice( ['tesla', 'bmw', 'mercedes'] ))
curiousity = [5, 1145, False, 44, "TESLA", 333, "BMW"]
print(random.choice(curiousity))
print(random.randrange(1, 5))
print(random.randint(6, 22))
print(random.uniform(2, 3))
print(random.choice( ['tesla', 'bmw', 'mercedes'] ))
curiousity = [5, 1145, False, 44, "TESLA", 333, "BMW"]
print(random.choice(curiousity))
#result
3
8
2.9602560055128455
tesla
BMW
8
2.9602560055128455
tesla
BMW
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