Random module in Python | Tutorial 31 | Python in Hindi | Urdu | Python Tutorial | Ali Code

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Random module in Python | Python tutorial for Beginners in Hindi | Urdu | Python in Hindi | Ali Code

The random module in Python is a built-in module that provides various functions for generating random numbers. Here are some commonly used functions from the random module:

random(): This function returns a random floating-point number between 0 and 1.

Example:

import random

num = random.random()
print(num)


Output:

0.8555203854742722

randint(a, b): This function returns a random integer between the two given integers a and b, inclusive.

Example:

import random

num = random.randint(1, 10)
print(num)


Output:

7

choice(seq): This function returns a random element from the given sequence seq, which can be a list, tuple, or string.

Example:

import random

fruits = ["apple", "banana", "cherry"]
random_fruit = random.choice(fruits)
print(random_fruit)


Output:

banana


These are just a few examples of functions provided by the random module. There are many more functions available for different requirements, such as shuffling lists, generating random samples, and more.


seed() Initialize the random number generator
getstate() Returns the current internal state of the random number generator
setstate() Restores the internal state of the random number generator
getrandbits() Returns a number representing the random bits
randrange() Returns a random number between the given range
randint() Returns a random number between the given range
choice() Returns a random element from the given sequence
choices() Returns a list with a random selection from the given sequence
shuffle() Takes a sequence and returns the sequence in a random order
sample() Returns a given sample of a sequence
random() Returns a random float number between 0 and 1
uniform() Returns a random float number between two given parameters
triangular() Returns a random float number between two given parameters, you can also set a mode parameter to specify the midpoint between the two other parameters
betavariate() Returns a random float number between 0 and 1 based on the Beta distribution (used in statistics)
expovariate() Returns a random float number based on the Exponential distribution (used in statistics)
gammavariate() Returns a random float number based on the Gamma distribution (used in statistics)
gauss() Returns a random float number based on the Gaussian distribution (used in probability theories)
lognormvariate() Returns a random float number based on a log-normal distribution (used in probability theories)
normalvariate() Returns a random float number based on the normal distribution (used in probability theories)
vonmisesvariate() Returns a random float number based on the von Mises distribution (used in directional statistics)
paretovariate() Returns a random float number based on the Pareto distribution (used in probability theories)
weibullvariate() Returns a random float number based on the Weibull distribution (used in statistics)



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