PY0101EN-3.4_notebook_quizz_objects.ipynb

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    "You will need the class Car for the next exercises. The class Car has four data attributes: make, model, colour and number of owners (owner_number). The method <code> car_info() </code>  prints out the data attributes and the method <code>sell()</code> increments the number of owners. "
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   "source": [
    "class Car(object):\n",
    "    def __init__(self,make,model,color):\n",
    "        self.make=make;\n",
    "        self.model=model;\n",
    "        self.color=color;\n",
    "        self.owner_number=0 \n",
    "    def car_info(self):\n",
    "        print(\"make: \",self.make)\n",
    "        print(\"model:\", self.model)\n",
    "        print(\"color:\",self.color)\n",
    "        print(\"number of owners:\",self.owner_number)\n",
    "    def sell(self):\n",
    "        self.owner_number=self.owner_number+1"
   ]
  },
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   "cell_type": "markdown",
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   "source": [
    "<h3> Create a Car object </h3>"
   ]
  },
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   "cell_type": "markdown",
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   "source": [
    "Create a <code> Car </code> object my_car with the given data attributes: "
   ]
  },
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   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
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     "text": [
      "make:  BMW\n",
      "model: M3\n",
      "color: red\n",
      "number of owners: 0\n"
     ]
    }
   ],
   "source": [
    "make=\"BMW\"\n",
    "model=\"M3\"\n",
    "color=\"red\"\n",
    "mine = Car('BMW', 'M3', 'red')\n",
    "mine.car_info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h3> Data Attributes </h3>"
   ]
  },
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   "cell_type": "markdown",
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   "source": [
    "Use the method car_info() to print out the data attributes"
   ]
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   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "make:  BMW\n",
      "model: M3\n",
      "color: red\n",
      "number of owners: 0\n"
     ]
    }
   ],
   "source": [
    "mine.car_info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h3> Methods  </h3>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Call the method <code> sell() </code> in the loop, then call the method <code> car_info()</code> again "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "make:  BMW\n",
      "model: M3\n",
      "color: red\n",
      "number of owners: 5\n"
     ]
    }
   ],
   "source": [
    "for i in range(5):\n",
    "    mine.sell()\n",
    "\n",
    "mine.car_info()\n",
    "    \n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<hr>\n",
    "<small>Copyright &copy; 2018 IBM Cognitive Class. This notebook and its source code are released under the terms of the [MIT License](https://cognitiveclass.ai/mit-license/).</small>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "test = Car('Honda', 'Accord', 'blue')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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