How to Implement Randomization with the Python Random Module

Randomization introduces unpredictability into computer programs, which is essential for applications like games, simulations, and generating sample datasets. Python's `random` module facilitates this by generating pseudo-random numbers using the Mersenne Twister algorithm. The module includes functions to generate random floats and integers within specified ranges (`uniform()`, `randint()`), select elements from lists (`choice()`, `sample()`), and reorder sequences (`shuffle()`). It also provides the `seed()` function to initialize the random number generator, allowing for reproducible results when needed for testing or debugging.