Exercise: Python IMDB (Starter)

PYTHON_IMDB_STARTER.ipynb

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    "# Dictionary of movies\n",
    "\n",
    "movies = [\n",
    "{\n",
    "\"name\": \"Usual Suspects\", \n",
    "\"imdb\": 7.0,\n",
    "\"category\": \"Thriller\"\n",
    "},\n",
    "{\n",
    "\"name\": \"Hitman\",\n",
    "\"imdb\": 6.3,\n",
    "\"category\": \"Action\"\n",
    "},\n",
    "{\n",
    "\"name\": \"Dark Knight\",\n",
    "\"imdb\": 9.0,\n",
    "\"category\": \"Adventure\"\n",
    "},\n",
    "{\n",
    "\"name\": \"The Help\",\n",
    "\"imdb\": 8.0,\n",
    "\"category\": \"Drama\"\n",
    "},\n",
    "{\n",
    "\"name\": \"The Choice\",\n",
    "\"imdb\": 6.2,\n",
    "\"category\": \"Romance\"\n",
    "},\n",
    "{\n",
    "\"name\": \"Colonia\",\n",
    "\"imdb\": 7.4,\n",
    "\"category\": \"Romance\"\n",
    "},\n",
    "{\n",
    "\"name\": \"Love\",\n",
    "\"imdb\": 6.0,\n",
    "\"category\": \"Romance\"\n",
    "},\n",
    "{\n",
    "\"name\": \"Bride Wars\",\n",
    "\"imdb\": 5.4,\n",
    "\"category\": \"Romance\"\n",
    "},\n",
    "{\n",
    "\"name\": \"AlphaJet\",\n",
    "\"imdb\": 3.2,\n",
    "\"category\": \"War\"\n",
    "},\n",
    "{\n",
    "\"name\": \"Ringing Crime\",\n",
    "\"imdb\": 4.0,\n",
    "\"category\": \"Crime\"\n",
    "},\n",
    "{\n",
    "\"name\": \"Joking muck\",\n",
    "\"imdb\": 7.2,\n",
    "\"category\": \"Comedy\"\n",
    "},\n",
    "{\n",
    "\"name\": \"What is the name\",\n",
    "\"imdb\": 9.2,\n",
    "\"category\": \"Suspense\"\n",
    "},\n",
    "{\n",
    "\"name\": \"Detective\",\n",
    "\"imdb\": 7.0,\n",
    "\"category\": \"Suspense\"\n",
    "},\n",
    "{\n",
    "\"name\": \"Exam\",\n",
    "\"imdb\": 4.2,\n",
    "\"category\": \"Thriller\"\n",
    "},\n",
    "{\n",
    "\"name\": \"We Two\",\n",
    "\"imdb\": 7.2,\n",
    "\"category\": \"Romance\"\n",
    "}\n",
    "]"
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   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
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   "source": [
    "# Write a function that takes a single movie and \n",
    "# returns True if its IMDB score is above 5.5"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
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   "outputs": [],
   "source": [
    "# Write a function that returns a sublist of movies \n",
    "# with an IMDB score above 5.5. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
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   "outputs": [],
   "source": [
    "# Write a function that takes a category name and returns \n",
    "# just those movies under that category."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
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   "outputs": [],
   "source": [
    "# Write a function that takes a list of movies and computes \n",
    "# the average IMDB score."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
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   "outputs": [],
   "source": [
    "# Write a function that takes a category and computes \n",
    "# the average IMDB score (HINT: reuse the function \n",
    "# from question 2.)"
   ]
  }
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