{ "cells": [ { "cell_type": "markdown", "id": "1a44722c-9586-4418-ad7f-8a3c964a9db8", "metadata": {}, "source": [ "# Wiederholung\n", "\n", "Um alle Teilnehmer auf den gleichen Stand zu bringen fangen wir dort an, wo der erste Kurs geendet hat." ] }, { "cell_type": "markdown", "id": "5246ab8c-2b98-48f0-9dc5-a36d99ecff60", "metadata": {}, "source": [ "## Packages, Funktionen, Arrays und Rechnen" ] }, { "cell_type": "code", "execution_count": 3, "id": "c04b1fca-a1f5-4ba2-90a8-216c3cc41556", "metadata": {}, "outputs": [], "source": [ "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 (exklusiv)\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 " ] }, { "cell_type": "code", "execution_count": 8, "id": "ff484198-3f23-439c-a17d-790e24d74c7e", "metadata": {}, "outputs": [ { "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" } ], "source": [ "rand_numbers(10, -1, 1)" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3 (ipykernel)", "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": "3.9.7" } }, "nbformat": 4, "nbformat_minor": 5 }