random.random() / random.randint() / random.choice()

import random

# Returns a random floating-point number in the range [0.0, 1.0).
random.random()

# Returns a random integer between a and b (inclusive).
random.randint(a, b)

# Returns a random floating-point number between a and b.
random.uniform(a, b)

# Returns a randomly chosen element from a sequence.
random.choice(sequence)

# Returns a list of k unique elements chosen from the sequence.
random.sample(sequence, k)

# Shuffles the list in place.
random.shuffle(list)

import random

# Generate a random float between 0 and 1 using random().
print(random.random())  # e.g., prints '0.37444887175646646'

# Simulate a dice roll using randint().
dice = random.randint(1, 6)
print(f'Dice: {dice}')  # Prints a random value from 1 to 6.

# Generate a random float over a continuous range using uniform().
temp = random.uniform(20.0, 30.0)
print(f'Temperature: {temp:.1f}°C')  # Prints a random value between 20.0 and 30.0.

# Pick a random element from a list using choice().
fruits = ['apple', 'banana', 'cherry', 'date']
picked = random.choice(fruits)
print(f'Picked fruit: {picked}')

# Pick a random character from a string using choice().
letters = 'abcdefghijklmnopqrstuvwxyz'
print(random.choice(letters))

# Pick multiple unique elements using sample().
winners = random.sample(['Alice', 'Bob', 'Carol', 'Dave', 'Eve'], k=3)
print(f'Winners: {winners}')  # Three people are chosen at random.

# Shuffle a list using shuffle().
cards = list(range(1, 14))
random.shuffle(cards)
print(cards)  # Prints the list in a random order.

# Generate a reproducible sequence of random numbers using seed() (useful for testing).
random.seed(42)
print(random.randint(1, 100))  # Always prints the same value when the seed is the same.

Python's random module uses the Mersenne Twister algorithm to generate high-quality pseudo-random numbers. It is suitable for a wide range of applications such as games, simulations, and test data generation.

random.shuffle() modifies the list in place, so it returns None. If you want to keep the original list unchanged, make a copy before shuffling.

Do not use the random module for security-sensitive purposes. When you need cryptographically secure random values — such as for passwords or tokens — use the secrets module instead (e.g., secrets.token_hex() or secrets.choice()).