Mastering Python's random Module 🎲

Mastering Python's random Module 🎲

The random module provides versatile tools for generating random numbers, shuffling sequences, sampling, and more. It's widely used for testing, simulations, and probabilistic operations.

1. Generating Random Numbers: uniform, randint, random

import random

print(random.random())         # float between 0.0 and 1.0
print(random.uniform(10, 20))  # float between 10 and 20
print(random.randint(1, 6))    # integer between 1 and 6

2. Fixing the Seed for Reproducibility

import random

random.seed(123)
print([random.randint(1, 100) for _ in range(5)])  # same results every time

3. Shuffling and Sampling Lists

import random

arr = list(range(1, 11))
random.shuffle(arr)               # shuffle list randomly
print(arr)

sample = random.sample(arr, 3)    # select 3 unique elements
print(sample)

4. Weighted and Simple Random Choices

import random

choices = ['Rock', 'Paper', 'Scissors']
print(random.choice(choices))  # single random choice

weighted = random.choices(choices, weights=[1, 2, 1], k=5)
print(weighted)  # 'Paper' more likely chosen due to higher weight

Summary

• Use random(), uniform(), randint() for varied random numbers.
• Ensure reproducibility with seed().
• shuffle() and sample() help randomize or extract from lists.
• choice() and choices(weights) offer simple and weighted selection.