NodeJS notebook.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# JavaScript in jupyter notebook"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## using [ijavascript](https://www.npmjs.com/package/ijavascript)\n",
    "Once you have installed Anaconda and NodeJS then you can just run the following in the command line;   \n",
    "\n",
    "`npm install -g ijavascript`\n",
    "\n",
    "Then you can start jupyter notebook by running the following;   \n",
    "\n",
    "`ijs`\n",
    "\n",
    "or   \n",
    "\n",
    "`jupyter notebook`\n",
    "\n",
    "and then when you make a new notebook you should be able to select javascript from the list."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# JavaScript Resources\n",
    "- [Stack OverFlow JavaScript Documentation](http://stackoverflow.com/documentation/javascript/topics)\n",
    "- [w3schools javascript](http://www.w3schools.com/js/)\n",
    "- [jqueryui](http://jqueryui.com/)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "undefined"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "var msg = [\"Hello\",\"World!\"].join(\", \")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Hello, World!'"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "msg"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Hello, World!!!'"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "msg = msg+\"!!\";\n",
    "msg"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Hello, World!!!\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "undefined"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "console.log(msg);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Hello, World!!!\n"
     ]
    },
    {
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       "undefined"
      ]
     },
     "execution_count": 26,
     "metadata": {},
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   ],
   "source": [
    "console.error(msg)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "42"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "// # Assignment:\n",
    "number = 42;"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "true"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "opposite = true;"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "-42"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "if (opposite) {\n",
    "  number = -42;\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "16"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "var cube, square;\n",
    "\n",
    "square = function(x) {\n",
    "  return x * x;\n",
    "};\n",
    "square(4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false
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   "outputs": [
    {
     "data": {
      "text/plain": [
       "64"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cube = function(x) {\n",
    "  return square(x) * x;\n",
    "};\n",
    "cube(4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "anaconda-cloud": {},
  "kernelspec": {
   "display_name": "Javascript (Node.js)",
   "language": "javascript",
   "name": "javascript"
  },
  "language_info": {
   "file_extension": ".js",
   "mimetype": "application/javascript",
   "name": "javascript",
   "version": "4.4.1"
  }
 },
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 "nbformat_minor": 2
}