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3. Lesung

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DerGrumpf
2024-11-01 16:23:59 +01:00
parent 5258c080bb
commit 505860fcb9
5 changed files with 916 additions and 73 deletions
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@@ -38,48 +38,6 @@
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@@ -92,7 +50,7 @@
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@@ -272,25 +235,11 @@
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"id": "52207bf8-c854-4249-a011-741cc6f57283",
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"2\n",
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"source": [
"count = 1\n",
"while count < 4:\n",
" print(count)\n",
" count += 1 "
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{
"cell_type": "code",
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"id": "cfc37791-5b75-4c51-ae76-a21f306821e0",
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"text": [
"1\n",
"2\n",
"3\n"
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}
],
"source": [
"for count in [1, 2, 3]:\n",
" print(count)"
]
},
{
"cell_type": "markdown",
"id": "daaa7cbe-0cb7-45c9-89a8-241561908db2",
"metadata": {},
"source": [
"```C\n",
"for (int i = 0; i < 4, i++) {}\n",
"```"
]
},
{
"cell_type": "code",
"execution_count": 7,
"id": "3e461857-f366-46f8-ad51-9800348b4521",
"metadata": {},
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{
"name": "stdout",
"output_type": "stream",
"text": [
"1\n",
"3\n"
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}
],
"source": [
"for count in range(1,4,2):\n",
" print(count)"
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},
{
"cell_type": "code",
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"id": "4f4d9b6c-c262-45a0-ab7a-ac8d3f13d110",
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"data": {
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"[0, 1, 2, 3, 4]"
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],
"source": [
"l = [0, 1, 2, 3, 4]\n",
"l"
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{
"cell_type": "code",
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"id": "fbcb9b7d-2850-41fe-82a5-09ad75191329",
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"name": "stdout",
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" print(el)"
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"cell_type": "code",
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"id": "c1cb9b0a-170c-4b45-b329-e28b0f8ee818",
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{
"data": {
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"5"
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{
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"id": "6902e5e5-0a49-4bce-a03a-f4c4d812ffa7",
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{
"cell_type": "code",
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"id": "4e2f0c81-894d-424d-848f-3e7cc36bd70b",
"metadata": {},
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{
"name": "stdout",
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"text": [
"Hello\n",
"Hello\n",
"Hello\n",
"Hello\n",
"Hello\n",
"Hello\n"
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"d = {\"a\": 5, \"b\": 8, \"c\": 10}\n",
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"cell_type": "code",
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"id": "52262d79-76d2-4bf4-8f06-8ed55dcff7cc",
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{
"name": "stdout",
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"text": [
"Wert: 5\n",
"Wert: 8\n",
"Wert: 10\n"
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}
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"for el in d.values():\n",
" print(f\"Wert: {el}\")"
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"text": [
"Key: a\n",
"Key: b\n",
"Key: c\n"
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"name": "stdout",
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"text": [
"Key: a mit Wert: 5\n",
"Key: b mit Wert: 8\n",
"Key: c mit Wert: 10\n"
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}
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"source": [
"for k, v in d.items():\n",
" print(f\"Key: {k} mit Wert: {v}\")"
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},
{
"cell_type": "code",
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"id": "dc988e8a-135d-483f-9ae0-d20cc861c558",
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"[0, 1, 4, 9, 16, 25]"
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},
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"source": [
"squared = []\n",
"for i in range(6):\n",
" squared.append(i*i)\n",
"squared"
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},
{
"cell_type": "code",
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"id": "94f148fb-a1f3-4bd9-82b0-baa3ad0b9d35",
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"data": {
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"[0, 1, 4, 9, 16, 25]"
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],
"source": [
"sq = [n**2 for n in range(6)]\n",
"sq"
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},
{
"cell_type": "code",
"execution_count": 25,
"id": "3e6d5db7-3cc1-4b21-9ad0-4d3402b4765b",
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{
"data": {
"text/plain": [
"{0: 0, 1: 1, 2: 4, 3: 9, 4: 16, 5: 25}"
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"metadata": {},
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}
],
"source": [
"di = {}\n",
"for n in range(6):\n",
" di[n] = n**2\n",
"di"
]
},
{
"cell_type": "code",
"execution_count": 26,
"id": "6bd693d3-8e27-48c2-9fe4-8ecafb98b181",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"{0: 0, 1: 1, 2: 4, 3: 9, 4: 16, 5: 25}"
]
},
"execution_count": 26,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"dic = {n: n**2 for n in range(6)}\n",
"dic"
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{
"cell_type": "code",
"execution_count": 27,
"id": "af2dfb75-e7b5-40c9-804f-d1c8fca9d6e0",
"metadata": {},
"outputs": [
{
"name": "stdin",
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"text": [
" 4\n"
]
},
{
"data": {
"text/plain": [
"'4'"
]
},
"execution_count": 27,
"metadata": {},
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}
],
"source": [
"input()"
]
},
{
"cell_type": "code",
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"id": "43939109-c7e5-4583-8a8d-bc12c03163e6",
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{
"name": "stdin",
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"text": [
" 6\n"
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"text = input()"
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"cell_type": "code",
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"id": "d023c299-89a4-4c13-8c6e-aae4feae9004",
"metadata": {},
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{
"data": {
"text/plain": [
"'6'"
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"execution_count": 29,
"metadata": {},
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"source": [
"text"
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},
{
"cell_type": "code",
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"outputs": [
{
"name": "stdin",
"output_type": "stream",
"text": [
"Gebe bitte eine Zahl ein: 7\n"
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},
{
"data": {
"text/plain": [
"'7'"
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},
"execution_count": 30,
"metadata": {},
"output_type": "execute_result"
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],
"source": [
"input(\"Gebe bitte eine Zahl ein:\")"
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},
{
"cell_type": "code",
"execution_count": 34,
"id": "d47d956b-f131-4c4c-acad-4adc5ff1508e",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<_io.TextIOWrapper name='test.txt' mode='r' encoding='UTF-8'>"
]
},
"execution_count": 34,
"metadata": {},
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],
"source": [
"f = open('test.txt')\n",
"f"
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{
"cell_type": "code",
"execution_count": 35,
"id": "4d38875a-18f9-4ad6-991b-fc61ea1dd08a",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"['Super Secret Message\\n', 'Hallo Welt\\n', 'Geiler Kurs\\n', 'Freitag 15h yeah']"
]
},
"execution_count": 35,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"f.readlines()"
]
},
{
"cell_type": "code",
"execution_count": 39,
"id": "1c0610b1-b6c2-430f-94c0-e50def936b16",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<_io.TextIOWrapper name='data.txt' mode='w' encoding='UTF-8'>"
]
},
"execution_count": 39,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"data = open('data.txt', 'w')\n",
"data"
]
},
{
"cell_type": "code",
"execution_count": 40,
"id": "1b74ffb0-487a-4ec7-9ed1-3e51b5c76450",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"18"
]
},
"execution_count": 40,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"data.write(\"Ich will nachhause\")"
]
},
{
"cell_type": "code",
"execution_count": 41,
"id": "f831efc1-b548-4a49-bbed-62c8018ecdfe",
"metadata": {},
"outputs": [],
"source": [
"f.close()\n",
"data.close()"
]
},
{
"cell_type": "code",
"execution_count": 42,
"id": "4580acb8-cc79-440c-a463-140547883ded",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"['Super Secret Message\\n', 'Hallo Welt\\n', 'Geiler Kurs\\n', 'Freitag 15h yeah']\n"
]
}
],
"source": [
"f = open('test.txt')\n",
"print(f.readlines())\n",
"f.close()"
]
},
{
"cell_type": "code",
"execution_count": 44,
"id": "50f35e0c-5138-478c-abe9-dae163c467a4",
"metadata": {},
"outputs": [
{
"ename": "ValueError",
"evalue": "I/O operation on closed file.",
"output_type": "error",
"traceback": [
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[0;31mValueError\u001b[0m Traceback (most recent call last)",
"Cell \u001b[0;32mIn[44], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[43mf\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mreadlines\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n",
"\u001b[0;31mValueError\u001b[0m: I/O operation on closed file."
]
}
],
"source": [
"f.readlines()"
]
},
{
"cell_type": "code",
"execution_count": 45,
"id": "999e5179-4d96-4b8b-bec6-3f8b0a857291",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"['Super Secret Message\\n', 'Hallo Welt\\n', 'Geiler Kurs\\n', 'Freitag 15h yeah']\n"
]
},
{
"ename": "ValueError",
"evalue": "I/O operation on closed file.",
"output_type": "error",
"traceback": [
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[0;31mValueError\u001b[0m Traceback (most recent call last)",
"Cell \u001b[0;32mIn[45], line 3\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m \u001b[38;5;28mopen\u001b[39m(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mtest.txt\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mr\u001b[39m\u001b[38;5;124m'\u001b[39m) \u001b[38;5;28;01mas\u001b[39;00m f:\n\u001b[1;32m 2\u001b[0m \u001b[38;5;28mprint\u001b[39m(f\u001b[38;5;241m.\u001b[39mreadlines())\n\u001b[0;32m----> 3\u001b[0m \u001b[43mf\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mreadlines\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n",
"\u001b[0;31mValueError\u001b[0m: I/O operation on closed file."
]
}
],
"source": [
"with open('test.txt', 'r') as f:\n",
" print(f.readlines())\n",
"f.readlines()"
]
},
{
"cell_type": "code",
"execution_count": 46,
"id": "f92c73ed-c02b-4142-ac27-25f22caaa199",
"metadata": {},
"outputs": [],
"source": [
"import math"
]
},
{
"cell_type": "code",
"execution_count": 47,
"id": "a911de4f-f9c9-4098-8369-d4f97efab684",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<module 'math' from '/usr/local/Cellar/python@3.12/3.12.5/Frameworks/Python.framework/Versions/3.12/lib/python3.12/lib-dynload/math.cpython-312-darwin.so'>"
]
},
"execution_count": 47,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"math"
]
},
{
"cell_type": "code",
"execution_count": 48,
"id": "7513811c-18e9-4cab-9edf-8f383be21027",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"3.141592653589793"
]
},
"execution_count": 48,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"math.pi"
]
},
{
"cell_type": "code",
"execution_count": 49,
"id": "254a6fab-a259-4379-a3e3-8f11560b87d7",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"3.1622776601683795"
]
},
"execution_count": 49,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"math.sqrt(10)"
]
},
{
"cell_type": "code",
"execution_count": 50,
"id": "15c63d11-6da3-4c44-a579-16a2f6cbe499",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"2.0"
]
},
"execution_count": 50,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"math.sqrt(4)"
]
},
{
"cell_type": "code",
"execution_count": 51,
"id": "c4c97328-95dd-4e6b-bc9c-857ee5d04e25",
"metadata": {},
"outputs": [],
"source": [
"from math import sqrt"
]
},
{
"cell_type": "code",
"execution_count": 52,
"id": "5d5a0a0d-bb66-49ad-bcee-2656afc7af47",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"9.486832980505138"
]
},
"execution_count": 52,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"sqrt(90)"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "b83a73fe-8f6e-4b22-97bc-c9016206a6bd",
"metadata": {},
"outputs": [],
"source": [
"from math import *"
]
},
{
"cell_type": "code",
"execution_count": 53,
"id": "d1568734-9077-4444-9c0e-5dbf385dc46a",
"metadata": {},
"outputs": [],
"source": [
"import numpy as np"
]
},
{
"cell_type": "code",
"execution_count": 54,
"id": "718bb6e9-1cda-438d-909a-b51064471d0a",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"np.float64(94.86832980505137)"
]
},
"execution_count": 54,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"np.sqrt(9000)"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "806082c4-61fc-4345-bd85-aa4deec1414a",
"metadata": {},
"outputs": [],
"source": []
}
],
"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": "3.12.5"
}
},
"nbformat": 4,
"nbformat_minor": 5
}

1
Material/data.txt Normal file
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@@ -0,0 +1 @@
Ich will nachhause

4
Material/test.txt Normal file
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Super Secret Message
Hallo Welt
Geiler Kurs
Freitag 15h yeah