Search results
Results From The WOW.Com Content Network
Random.org (stylized as RANDOM.ORG) is a website that produces random numbers based on atmospheric noise. [1] In addition to generating random numbers in a specified range and subject to a specified probability distribution, which is the most commonly done activity on the site, it has free tools to simulate events such as flipping coins, shuffling cards, and rolling dice.
Wikipedia:Random. On Wikipedia and other sites running on MediaWiki, Special:Random can be used to access a random article in the main namespace; this feature is useful as a tool to generate a random article. Depending on your browser, it's also possible to load a random page using a keyboard shortcut (in Firefox, Edge, and Chrome Alt-Shift + X ).
Wikipedia is a free online encyclopedia that anyone can edit and contribute to. It contains millions of articles in hundreds of languages, covering various topics and domains. Learn more about the list of most-visited websites on Wikipedia, and discover how popular and influential they are in the world.
Random number generation is a process by which, often by means of a random number generator ( RNG ), a sequence of numbers or symbols that cannot be reasonably predicted better than by random chance is generated. This means that the particular outcome sequence will contain some patterns detectable in hindsight but impossible to foresee.
The concept of random sampling is not exactly original to Wikipedia; indeed, various editors seem to have independently conceived the idea in Wikipedia's context several times over. The earliest tests date back to 2003. The number of articles in these tests ranges from as few as ten to as many as one thousand. Selected examples.
However, generally they are considerably slower (typically by a factor 2–10) than fast, non-cryptographic random number generators. These include: Stream ciphers. Popular choices are Salsa20 or ChaCha (often with the number of rounds reduced to 8 for speed), ISAAC, HC-128 and RC4. Block ciphers in counter mode.
For these applications, truly random numbers are ideal, and very high quality pseudo-random numbers are necessary if truly random numbers, such as coming from a hardware random number generator, are unavailable. Truly random numbers are absolutely required to be assured of the theoretical security provided by the one-time pad — the only ...
Hugo (software) Hugo is a static site generator written in Go. Steve Francia [ 4] originally created Hugo as an open source project in 2013. Since v0.14 in 2015, [ 5] Hugo has continued development under the lead of Bjørn Erik Pedersen with other contributors. Hugo is licensed under the Apache License 2.0.