Numbers in Python.ipynb

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   "cell_type": "markdown",
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   "source": [
    "# NUMBERS"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In this notebook, we will work with the most basic data type: numbers."
   ]
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  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Print the Data Type"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy"
   ]
  },
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   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'int'>\n",
      "<class 'float'>\n"
     ]
    }
   ],
   "source": [
    "a = 2\n",
    "print(type(a)) #print the data type of variable a\n",
    "\n",
    "b = 2.5\n",
    "print(type(b)) # prints data type of variable b"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "4.5\n",
      "9.0\n",
      "7.333333333333333\n"
     ]
    }
   ],
   "source": [
    "a = 2\n",
    "b = 2.5\n",
    "print(a + b)\n",
    "print((a + b) * 2) \n",
    "print(2 + 2 + 4 - 2/3)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Given a MathOp() function, try the following mathematical calculations and print the output:"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "$(3 / 2)\n",
    "(3 // 2)\n",
    "(3 % 2)\n",
    "(3**2)$\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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