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table.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "import sqlalchemy as db"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "engine = db.create_engine('sqlite:///census.sqlite')\n",
    "connection = engine.connect()\n",
    "metadata = db.MetaData()\n",
    "census = db.Table('census', metadata, autoload=True, autoload_with=engine)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['state', 'sex', 'age', 'pop2000', 'pop2008']\n"
     ]
    }
   ],
   "source": [
    "# Print the column names\n",
    "print(census.columns.keys())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Table('census', MetaData(bind=None), Column('state', VARCHAR(length=30), table=<census>), Column('sex', VARCHAR(length=1), table=<census>), Column('age', INTEGER(), table=<census>), Column('pop2000', INTEGER(), table=<census>), Column('pop2008', INTEGER(), table=<census>), schema=None)\n"
     ]
    }
   ],
   "source": [
    "# Print full table metadata\n",
    "print(repr(metadata.tables['census']))"
   ]
  }
 ],
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