random_numbers1.ipynb

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  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "0e277232",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Import the random module.\n",
    "import random "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "be44ecfd",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "40"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "random.randint(-90, 90)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "bce8e51c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.161703914056623"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "random.random() "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "7b8cfc42",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "55.569396296209746"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
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   ],
   "source": [
    "random_number = random.randint(-90, 89) + random.random()\n",
    "random_number\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "985fcb7e",
   "metadata": {},
   "outputs": [],
   "source": [
    "x = 1\n",
    "latitudes = []\n",
    "while x < 11:\n",
    "    random_lat = random.randint(-90, 89) + random.random()\n",
    "    latitudes.append(random_lat)\n",
    "    x += 1 "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "a85d7d8f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "84"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "random.randrange(-90, 90, step=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "1ba90521",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "-9"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "random.randrange(-90, 90, step=3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "ab70cbe6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "81.25407743928349"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "random.uniform(-90, 90)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "0fc0709f",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Import the NumPy module.\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "450ff8c0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "89.01554261975298"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.random.uniform(-90.000, 90.000)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "af3a7162",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([-68.68994737,  78.58552203, -70.16986147, -73.67393169,\n",
       "       -40.5141773 ,  20.3012073 , -35.57079898, -67.59411676,\n",
       "        53.74229533,  80.757763  , -80.12859094, -59.3692774 ,\n",
       "        63.41932783,  16.60867963,  58.26866013,  29.30860373,\n",
       "        31.59299728,  34.75552826,   7.49147574, -64.3840283 ,\n",
       "        33.16943938,  -7.81108984, -73.30815602, -42.79977461,\n",
       "        -1.14419524,  -7.93002445,  37.63881993,  56.50667915,\n",
       "        13.49372675, -66.08203417,  79.12538021, -21.52368123,\n",
       "         6.78269962, -17.7728996 ,  17.81660012,   7.83954631,\n",
       "        75.14996298,  83.41336982,  77.89628019,  33.23846515,\n",
       "        81.71380746,  25.19033946, -47.02216037, -76.71513434,\n",
       "       -16.16062049, -62.30841248, -87.78884823, -49.68631947,\n",
       "       -41.86372703, -60.43326661])"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.random.uniform(-90.000, 90.000, size=50)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "3a95b4c4",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Import timeit.\n",
    "import timeit"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "6a572f26",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "11.2 µs ± 289 ns per loop (mean ± std. dev. of 7 runs, 100000 loops each)\n"
     ]
    }
   ],
   "source": [
    "%timeit np.random.uniform(-90.000, 90.000, size=1500)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "bc18ab14",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1.1 ms ± 26.5 µs per loop (mean ± std. dev. of 7 runs, 1000 loops each)\n"
     ]
    }
   ],
   "source": [
    "def latitudes(size):\n",
    "    latitudes = []\n",
    "    x = 0\n",
    "    while x < (size):\n",
    "        random_lat = random.randint(-90, 90) + random.random()\n",
    "        latitudes.append(random_lat)\n",
    "        x += 1\n",
    "    return latitudes\n",
    "# Call the function with 1500.\n",
    "%timeit latitudes(1500)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "296b3a4f",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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