sq_02_python_data_science/jupyter_book/01_wiederholung.ipynb

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    "# Wiederholung\n",
    "\n",
    "Um alle Teilnehmer auf den gleichen Stand zu bringen fangen wir dort an, wo der erste Kurs geendet hat."
   ]
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   "source": [
    "## Packages, Funktionen, Arrays und Rechnen"
   ]
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    "import random\n",
    "random.seed(42)\n",
    "\n",
    "def rand_numbers(n, start, end):\n",
    "    \"\"\" Erzeugt einen Array mit Zufallszahlen mit 2 Nachkommastellen\n",
    "    n\n",
    "      Anzahl der erzeugten Zufallszahlen\n",
    "      \n",
    "    start\n",
    "      Kleinste mögliche Zahl (inklusiv)\n",
    "      \n",
    "    end\n",
    "      Größte mögliche Zahl (inklusiv)\n",
    "    \"\"\"\n",
    "    digits = 2\n",
    "    factor = 10 ** digits\n",
    "    result = []\n",
    "    for i in range(n):\n",
    "        result.append(random.randint(start * factor, end * factor) / factor)\n",
    "        \n",
    "    return result "
   ]
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  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "ff484198-3f23-439c-a17d-790e24d74c7e",
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    {
     "data": {
      "text/plain": [
       "[-0.13, -0.29, -0.61, -0.45, 0.95, -0.14, -0.74, -0.77, -0.03, -0.76]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
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   ],
   "source": [
    "rand_numbers(10, -1, 1)"
   ]
  }
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