habi/iuutub.ipynb

## iuutub.ipynb
{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/jpeg": 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0VuqPDayZ6gxeV29Pbsqjnwiq7rEa5Y7/APJjjqE005maNUZWS3rKZzfxlvau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\nXc5DAAidXr//2Q==\n",
      "text/html": [
       "\n",
       "        <iframe\n",
       "            width=\"400\"\n",
       "            height=\"300\"\n",
       "            src=\"https://www.youtube.com/embed/iwhbRUX4Q_o\"\n",
       "            frameborder=\"0\"\n",
       "            allowfullscreen\n",
       "        ></iframe>\n",
       "        "
      ],
      "text/plain": [
       "<IPython.lib.display.YouTubeVideo at 0x107a297d0>"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# We're done!\n",
    "from IPython.display import YouTubeVideo\n",
    "YouTubeVideo('iwhbRUX4Q_o')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 2",
   "language": "python",
   "name": "python2"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.11"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}
	{
	"cells": [
	{
	"cell_type": "code",
	"execution_count": 1,
	"metadata": {
	"collapsed": false
	},
	"outputs": [
	{
	"data": {
	"image/jpeg": 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BkRt0kNPKMXPGU+UYmJNp8DiNTsdiqGnjZJLCjjuQhDTpyTawYYb2sZwh+i32kaSOTUnf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\nXc5DAAidXr//2Q==\n",
	"text/html": [
	"\n",
	" <iframe\n",
	" width=\"400\"\n",
	" height=\"300\"\n",
	" src=\"https://www.youtube.com/embed/iwhbRUX4Q_o\"\n",
	" frameborder=\"0\"\n",
	" allowfullscreen\n",
	" ></iframe>\n",
	" "
	],
	"text/plain": [
	"<IPython.lib.display.YouTubeVideo at 0x107a297d0>"
	]
	},
	"execution_count": 1,
	"metadata": {},
	"output_type": "execute_result"
	}
	],
	"source": [
	"# We're done!\n",
	"from IPython.display import YouTubeVideo\n",
	"YouTubeVideo('iwhbRUX4Q_o')"
	]
	},
	{
	"cell_type": "code",
	"execution_count": null,
	"metadata": {
	"collapsed": true
	},
	"outputs": [],
	"source": []
	}
	],
	"metadata": {
	"kernelspec": {
	"display_name": "Python 2",
	"language": "python",
	"name": "python2"
	},
	"language_info": {
	"codemirror_mode": {
	"name": "ipython",
	"version": 2
	},
	"file_extension": ".py",
	"mimetype": "text/x-python",
	"name": "python",
	"nbconvert_exporter": "python",
	"pygments_lexer": "ipython2",
	"version": "2.7.11"
	}
	},
	"nbformat": 4,
	"nbformat_minor": 0
	}