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docs/examples/parallel/task_1.ipynb

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+{
+ "metadata": {
+  "name": "task_1"
+ },
+ "nbformat": 3,
+ "worksheets": [
+  {
+   "cells": [
+    {
+     "cell_type": "markdown",
+     "source": [
+      "# Simple task farming example"
+     ]
+    },
+    {
+     "cell_type": "code",
+     "collapsed": true,
+     "input": [
+      "from IPython.parallel import Client"
+     ],
+     "language": "python",
+     "outputs": [],
+     "prompt_number": 3
+    },
+    {
+     "cell_type": "markdown",
+     "source": [
+      "A `Client.load_balanced_view` is used to get the object used for working with load balanced tasks."
+     ]
+    },
+    {
+     "cell_type": "code",
+     "collapsed": true,
+     "input": [
+      "rc = Client()",
+      "v = rc.load_balanced_view()"
+     ],
+     "language": "python",
+     "outputs": [],
+     "prompt_number": 4
+    },
+    {
+     "cell_type": "markdown",
+     "source": [
+      "Set the variable `d` on all engines:"
+     ]
+    },
+    {
+     "cell_type": "code",
+     "collapsed": true,
+     "input": [
+      "rc[:]['d'] = 30"
+     ],
+     "language": "python",
+     "outputs": [],
+     "prompt_number": 5
+    },
+    {
+     "cell_type": "markdown",
+     "source": [
+      "Define a function that will be our task:"
+     ]
+    },
+    {
+     "cell_type": "code",
+     "collapsed": true,
+     "input": [
+      "def task(a):",
+      "    return a, 10*d, a*10*d"
+     ],
+     "language": "python",
+     "outputs": [],
+     "prompt_number": 6
+    },
+    {
+     "cell_type": "markdown",
+     "source": [
+      "Run the task once:"
+     ]
+    },
+    {
+     "cell_type": "code",
+     "collapsed": true,
+     "input": [
+      "ar = v.apply(task, 5)"
+     ],
+     "language": "python",
+     "outputs": [],
+     "prompt_number": 7
+    },
+    {
+     "cell_type": "markdown",
+     "source": [
+      "Print the results:"
+     ]
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "print \"a, b, c: \", ar.get()"
+     ],
+     "language": "python",
+     "outputs": [
+      {
+       "output_type": "stream",
+       "stream": "stdout",
+       "text": [
+        "a, b, c:  [5, 300, 1500]"
+       ]
+      }
+     ],
+     "prompt_number": 8
+    }
+   ]
+  }
+ ]
+}
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