run-parallel 1.2.0

Run-parallel is an npm package that executes an array of functions in parallel, meaning it doesn't wait for the previous function to complete before starting the next one. This can be incredibly useful for improving the performance of JavaScript applications as it allows for multiple tasks to be performed simultaneously. If any of the functions pass an error to their callback, the main callback is executed immediately with the error's value. Once the tasks are done, the results are handed over to the final callback as an array.

The run-parallel package can be installed using npm with the command npm install run-parallel. After installation, you can import it into your JavaScript file with var parallel = require('run-parallel').

You can use run-parallel by creating an array of functions and passing this array into the parallel function. Each function you include should call a callback function upon completion with a potential error and result value.

Here is an example of how to actually use run-parallel in code:

var parallel = require('run-parallel')

parallel([
  function (callback) {
    setTimeout(function () {
      callback(null, 'one')
    }, 200)
  },
  function (callback) {
    setTimeout(function () {
      callback(null, 'two')
    }, 100)
  }
], function (err, results) {
  // This optional callback will run once all tasks have completed
  // The results array here will equal ['one','two']
});

In this example, the package is being used to run two functions in parallel. Each function is using a setTimeout to mimic asynchronous behavior.

It should be noted that the callback(err, results) at the end is optional. If used, this is where you will handle the results from all of your parallel functions.

The documentation for run-parallel can be found on its GitHub page at git://github.com/feross/run-parallel.git. This page includes a brief description of what the package does, instructions on how to install and use it, and an example of the package in action. Please make sure to review each of these sections for a thorough understanding of run-parallel and its capabilities.