95 lines
2.1 KiB
Plaintext
95 lines
2.1 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "markdown",
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"id": "1a44722c-9586-4418-ad7f-8a3c964a9db8",
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"metadata": {},
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"source": [
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"# Wiederholung\n",
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"\n",
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"Um alle Teilnehmer auf den gleichen Stand zu bringen fangen wir dort an, wo der erste Kurs geendet hat."
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]
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},
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{
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"cell_type": "markdown",
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"id": "5246ab8c-2b98-48f0-9dc5-a36d99ecff60",
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"metadata": {},
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"source": [
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"## Packages, Funktionen, Arrays und Rechnen"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"id": "c04b1fca-a1f5-4ba2-90a8-216c3cc41556",
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"metadata": {},
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"outputs": [],
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"source": [
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"import random\n",
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"random.seed(42)\n",
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"\n",
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"def rand_numbers(n, start, end):\n",
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" \"\"\" Erzeugt einen Array mit Zufallszahlen mit 2 Nachkommastellen\n",
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" n\n",
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" Anzahl der erzeugten Zufallszahlen\n",
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" \n",
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" start\n",
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" Kleinste mögliche Zahl (inklusiv)\n",
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" \n",
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" end\n",
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" Größte mögliche Zahl (inklusiv)\n",
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" \"\"\"\n",
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" digits = 2\n",
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" factor = 10 ** digits\n",
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" result = []\n",
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" for i in range(n):\n",
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" result.append(random.randint(start * factor, end * factor) / factor)\n",
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" \n",
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" return result "
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]
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},
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{
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"cell_type": "code",
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"execution_count": 8,
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"id": "ff484198-3f23-439c-a17d-790e24d74c7e",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"[-0.13, -0.29, -0.61, -0.45, 0.95, -0.14, -0.74, -0.77, -0.03, -0.76]"
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]
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},
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"execution_count": 8,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"rand_numbers(10, -1, 1)"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3 (ipykernel)",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.9.7"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}
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