At its core, a Random Number Generator is a computational or physical system designed to supply numbers in a sequence that lacks any predictable sample. There are two main forms of RNGs: pseudo-random number turbines (PRNGs) and true random quantity turbines (TRNGs). PRNGs use mathematical algorithms to supply sequences of numbers that appear random, whereas TRNGs derive randomness from physical processes, similar to radioactive decay or atmospheric noise. The selection between these two sorts often comes all the method down to the needs of the application