{
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  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# value별로 값을 다르게 주고싶어서 진행\n",
    "\n",
    "hash_tags = ['코딩','개발자','빅데이터','머신러닝','딥러닝','coding','developer','bigdata','machinelearning','deeplearning']\n",
    "most_like_tags = ['코딩','개발자','빅데이터']\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "for hash_tag in hash_tags:\n",
    "    if any(e in hash_tag for e in most_like_tags):\n",
    "        count_number = 100\n",
    "    else:\n",
    "        count_number = 20"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "any(iterable)\n",
    "- Return True if bool(x) is True for any x in the iterable."
   ]
  }
 ],
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  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
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   "version": "3.6.1"
  },
  "latex_envs": {
   "LaTeX_envs_menu_present": true,
   "autocomplete": true,
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   "cite_by": "apalike",
   "current_citInitial": 1,
   "eqLabelWithNumbers": true,
   "eqNumInitial": 1,
   "hotkeys": {
    "equation": "Ctrl-E",
    "itemize": "Ctrl-I"
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