Pseudo Random Number Generator
A Pseudo Random Number Generator (PRNG) is an algorithm that generates sequences of numbers that appear random but are determined by an initial seed value. It is widely used in computing for simulations, cryptography, gaming, and statistical sampling where true randomness is not required or feasible. PRNGs are deterministic, meaning the same seed will produce the same sequence, making them reproducible for testing and debugging.
Developers should learn PRNGs when building applications that require random-like behavior without the overhead of true randomness, such as in game development for procedural generation, Monte Carlo simulations in finance or science, and non-cryptographic security applications like session IDs. They are essential for ensuring predictable outcomes in testing environments and for applications where performance and scalability are prioritized over cryptographic security.