stdlib-js Goto Github PK
Name: stdlib
Type: Organization
Bio: Standard library for JavaScript.
Twitter: stdlibjs
Blog: https://stdlib.io
Name: stdlib
Type: Organization
Bio: Standard library for JavaScript.
Twitter: stdlibjs
Blog: https://stdlib.io
Return the current working directory.
Object containing the user environment.
Absolute pathname of the executable which started the current Node.js process.
Return the effective numeric group identity of a calling process.
Return the effective numeric user identity of a calling process.
Return the numeric group identity of a calling process.
Return the numeric user identity of a calling process.
Node version.
Read data from stdin.
Get/set the process mask.
Proxy.
Proxy object.
Standard library generic random functions.
Pseudorandom number generator array creation functions.
Create an array containing arcsine distributed pseudorandom numbers.
Create an array containing pseudorandom numbers drawn from a beta distribution.
Create an array containing pseudorandom numbers drawn from a beta prime distribution.
Create an array containing pseudorandom numbers drawn from a raised cosine distribution.
Create an array containing pseudorandom numbers drawn from a discrete uniform distribution.
Create an array containing pseudorandom numbers drawn from an exponential distribution.
Create an array containing pseudorandom numbers drawn from a gamma distribution.
Create an array containing pseudorandom numbers drawn from a geometric distribution.
Create an array containing pseudorandom numbers drawn from an inverse gamma distribution.
Create an array containing pseudorandom numbers drawn from a lognormal distribution.
Create an array containing pseudorandom numbers generated using a linear congruential pseudorandom number generator (LCG).
Create an array containing pseudorandom numbers generated using a linear congruential pseudorandom number generator (LCG) whose output is shuffled.
Create an array containing pseudorandom numbers generated using a 32-bit Mersenne Twister pseudorandom number generator.
Create an array containing pseudorandom numbers drawn from a normal distribution.
Create an array containing uniformly distributed pseudorandom numbers between 0 and 1.
Create an array containing pseudorandom numbers drawn from a continuous uniform distribution.
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