About stdlib...
We believe in a future in which the web is a preferred environment for numerical computation. To help realize this future, we've built stdlib. stdlib is a standard library, with an emphasis on numerical and scientific computation, written in JavaScript (and C) for execution in browsers and in Node.js.
The library is fully decomposable, being architected in such a way that you can swap out and mix and match APIs and functionality to cater to your exact preferences and use cases.
When you use stdlib, you can be absolutely certain that you are using the most thorough, rigorous, well-written, studied, documented, tested, measured, and high-quality code out there.
To join us in bringing numerical computing to the web, get started by checking us out on GitHub, and please consider financially supporting stdlib. We greatly appreciate your continued support!
Return help text associated with a provided alias.
npm install @stdlib/repl-help
var help = require( '@stdlib/repl-help' );
Returns help text for a provided alias.
var txt = help( 'base.sin' );
// returns <string>
If provided an unrecognized alias
, the function returns null
.
var txt = help( 'unrecognized_alias_beep_boop_bop_bip' );
// returns null
var discreteUniform = require( '@stdlib/random-base-discrete-uniform' );
var aliases = require( '@stdlib/namespace-aliases' );
var help = require( '@stdlib/repl-help' );
var list;
var len;
var idx;
var i;
list = aliases();
len = list.length;
for ( i = 0; i < 100; i++ ) {
idx = discreteUniform( 0, len-1 );
console.log( help( list[ idx ] ) );
}
The data files (databases) are licensed under an Open Data Commons Public Domain Dedication & License 1.0 and their contents are licensed under Creative Commons Zero v1.0 Universal. The software is licensed under Apache License, Version 2.0.
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@stdlib/repl-help-cli
: CLI package for use as a command-line utility.
This package is part of stdlib, a standard library for JavaScript and Node.js, with an emphasis on numerical and scientific computing. The library provides a collection of robust, high performance libraries for mathematics, statistics, streams, utilities, and more.
For more information on the project, filing bug reports and feature requests, and guidance on how to develop stdlib, see the main project repository.
Copyright © 2016-2024. The Stdlib Authors.