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Learning Jupyter

You're reading from   Learning Jupyter Select, Share, Interact and Integrate with Jupyter Notebook

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Product type Paperback
Published in Nov 2016
Publisher Packt
ISBN-13 9781785884870
Length 238 pages
Edition 1st Edition
Languages
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Author (1):
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Dan Toomey Dan Toomey
Author Profile Icon Dan Toomey
Dan Toomey
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Toc

Table of Contents (11) Chapters Close

Preface 1. Introduction to Jupyter FREE CHAPTER 2. Jupyter Python Scripting 3. Jupyter R Scripting 4. Jupyter Julia Scripting 5. Jupyter JavaScript Coding 6. Interactive Widgets 7. Sharing and Converting Jupyter Notebooks 8. Multiuser Jupyter Notebooks 9. Jupyter Scala 10. Jupyter and Big Data

Node.js asynchronous threads


Node.js has built-in mechanisms for creating threads and having them fire asynchronously. Using an example from http://book.mixu.net/node/ch7.html, we have the following:

//thread function - invoked for every number in items array
function async(arg, callback) {
  console.log('cube ''+arg+'', and return 2 seconds later');
  setTimeout(function() { callback(arg * 3); }, 2000);
}
//function called once - after all threads complete
function final() { console.log('Done', results); }
//list of numbers to operate upon
var items = [ 0, 1, 1, 2, 3, 5, 7, 11 ];
//results of each step
var results = [];
//loop the drives the whole process
items.forEach(function(item) {
  async(item, function(result){
    results.push(result);
    if(results.length == items.length) {
      final();
    }
  })
});

This script creates an asynchronous function that operates on a number. For every number (item), we call upon the inline function passing the number to the function that applies...

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