A random number generator produces numbers with no predictable pattern within a specified range. Computers generate pseudorandom numbers using deterministic algorithms seeded by a starting value. True random numbers require physical entropy sources.
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Pro Tip
Seeding a pseudorandom number generator with the same seed always produces the same sequence. This is useful for reproducible simulations — save the seed, reproduce the results exactly.
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Did You Know?
The RAND Corporation published a 400-page book in 1955 containing one million random digits — essential before computers were available. It was sold as a reference for statisticians and scientists. A used copy now sells for $200+ on Amazon.
References
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