A Random Number Generator (RNG) is a tool or algorithm that produces a number chosen at random from a specified range. These can be true random (based on physical phenomena) or pseudo-random (generated by algorithms in code).
Example: A generator might produce a number between 1 and 100, like 57.
Simulations (e.g., weather models, game mechanics, Monte Carlo simulations).
Cryptography (generating secure keys or tokens).
Gaming (random events, dice rolls, loot drops).
Sampling and statistics (selecting random data points or users).
Shuffling and ordering (randomizing items or order of questions).
When you need unpredictable results (e.g., lottery, dice roll, card shuffle).
In automated testing, to simulate different user or input behaviors.
For statistical sampling and experiments.
During game development, for dynamic or chance-based mechanics.
In security (e.g., password generation, token creation).