python comprehensions

list_and_dict_comprehensions.ipynb

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   "cell_type": "code",
   "execution_count": 6,
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    "app_list = ['TV', 'radio']\n",
    "labels = ['television', 'radio']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
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   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'app_now/TV': 'app_buy/TV', 'app_now/radio': 'app_buy/radio'}"
      ]
     },
     "execution_count": 4,
     "metadata": {},
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   "source": [
    "{'app_now/' + a: 'app_buy/' + a for a in app_list}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
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   "outputs": [
    {
     "data": {
      "text/plain": [
       "['app_buy/TV', 'app_buy/radio']"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
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   ],
   "source": [
    "['app_buy/' + a for a in app_list]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'TV': 'television', 'radio': 'radio'}"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "{a:b for a,b in zip(app_list, labels)}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[('TV', 'television'), ('radio', 'radio')]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "list(zip(app_list, labels))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
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