Preliminaries_Numpy_Pandas.ipynb

   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Showing some basic math on arrays\n",
      "Max: 4\n",
      "Average: 2.0\n",
      "Max index: 2\n",
      "\n",
      "Use numpy to create a [3,3] dimension array with random number\n",
      "[[0.92371879 0.58999086 0.76979433]\n",
      " [0.48733651 0.44698554 0.91494542]\n",
      " [0.59130531 0.69632003 0.32785335]]\n"
     ]
    }
   ],
   "source": [
    "print(\"\\nShowing some basic math on arrays\")\n",
    "\n",
    "b = np.array([0,1,4,3,2])\n",
    "print(\"Max: {}\".format(np.max(b)))\n",
    "print(\"Average: {}\".format(np.average(b)))\n",
    "print(\"Max index: {}\".format(np.argmax(b)))\n",
    "\n",
    "print(\"\\nUse numpy to create a [3,3] dimension array with random number\")\n",
    "c = np.random.rand(3, 3)\n",
    "print(c)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}