Pseudo Random Number Generation
Pseudo Random Number Generation (PRNG) is a computational algorithm that produces sequences of numbers that appear random but are generated deterministically from an initial seed value. It is widely used in simulations, cryptography, gaming, and statistical sampling where true randomness is not required or practical. PRNGs are efficient and reproducible, making them essential for applications needing predictable yet seemingly random behavior.
Developers should learn PRNG when building applications that require randomness for simulations, game mechanics, or cryptographic operations, as it provides a controlled and efficient alternative to true random number generation. It is particularly useful in testing and debugging, where reproducible random sequences ensure consistent results across runs. In cryptography, secure PRNGs (CSPRNGs) are critical for generating keys and nonces to protect sensitive data.