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Title | RandN - Better random number generation for |
Description | Quick Docs Posts API Search Better random number generation for .NET RandN provides an alternative random number generation API to .NET’s Random , which has num |
Keywords | N/A |
WebSite | randn.dev |
Host IP | 45.55.138.27 |
Location | United States |
Site | Rank |
US$2,123
Last updated: 2023-05-20 08:05:44
randn.dev has Semrush global rank of 0. randn.dev has an estimated worth of US$ 2,123, based on its estimated Ads revenue. randn.dev receives approximately 244 unique visitors each day. Its web server is located in United States, with IP address 45.55.138.27. According to SiteAdvisor, randn.dev is safe to visit. |
Purchase/Sale Value | US$2,123 |
Daily Ads Revenue | US$1 |
Monthly Ads Revenue | US$58 |
Yearly Ads Revenue | US$705 |
Daily Unique Visitors | 16 |
Note: All traffic and earnings values are estimates. |
Host | Type | TTL | Data |
randn.dev. | A | 299 | IP: 45.55.138.27 |
randn.dev. | AAAA | 299 | IPV6: 2604:a880:800:10::58a:c001 |
randn.dev. | NS | 86400 | NS Record: dahlia.ns.cloudflare.com. |
randn.dev. | NS | 86400 | NS Record: david.ns.cloudflare.com. |
randn.dev. | MX | 300 | MX Record: 20 mailsec.protonmail.ch. |
randn.dev. | MX | 300 | MX Record: 10 mail.protonmail.ch. |
randn.dev. | TXT | 300 | TXT Record: v=spf1 include:_spf.protonmail.ch mx ~all |
randn.dev. | TXT | 300 | TXT Record: protonmail-verification=dc2a0a7944bc311918884f55693d4042a5e9384f |
Docs Posts API Search Better random number generation for .NET RandN provides an alternative random number generation API to .NET’s Random , which has numerous problems, including low performance, poor statistical quality, and limiting and inflexible API design. RandN solves all of these issues by providing modern RNG algorithms encapsulated within a carefully designed API that was inspired by the Rust crate, Rand . Think of RandN like NodaTime , but for random numbers. GitHub nuget Why not just use Random? While Random can work for simple use cases, it has inherit design problems that have not been fixed. A common error is instantiating Random instances in a loop - they’ll almost certainly produce identical sequences since they’re seeded from the current time. It’s also very slow compared to other RNGs. Even more subtle is the statisical bias in the algorithm used. Performance and statistical quality can be improved by using other algorithms, but the underlying problem remains - the |
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