{
"cells": [
{
"cell_type": "code",
"execution_count": 31,
"metadata": {},
"outputs": [],
"source": [
"1. Write a Python program to read 5 random lines from file A and then write them to file B. "
]
},
{
"cell_type": "code",
"execution_count": null
,
"metadata": {},
"outputs": [],
"source": [
"import os,random\n",
"os.chdir(\"C:\\\\Users\\\\tan\\\\Desktop\") "
]
},
{
"cell_type": "code",
"execution_count": 32,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"'C:\\\\Users\\\\tan\\\\Desktop'"
]
},
"execution_count": 32,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"os.getcwd()"
]
},
{
"cell_type": "code",
"execution_count": 65,
"metadata": {},
"outputs": [],
"source": [
"s=[]\n",
"with open('A.txt') as tasks:\n",
" tasks_content=tasks.readlines()\n",
" i=len(tasks_content)\n",
" while(len(s)<5):\n",
" x=random.randint(0,i-1)\n",
" if x not in s:\n",
" s.append(x)\n",
"f=open('B.txt','w')\n",
"for i in s:\n",
" f.write(tasks_content[i])\n",
"f.close()"
]
},
{
"cell_type": "code",
"execution_count": null
,
"metadata": {},
"outputs": [],
"source": [
"2. Ask users to enter their name and gender first. Then print it to the screen for user confirmation. After that, append the name and gender to file user_info.txt as a new line. "
]
},
{
"cell_type": "code",
"execution_count": 82,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Please provide your name:tan\n",
"Please provide your gender:male\n",
"Please confirm your information\n",
"name: tan gender: male\n",
"YES OR NO?YES\n"
]
}
],
"source": [
"word=input('Please provide your name:')\n",
"word2=input('Please provide your gender:')\n",
"print(\"Please confirm your information\\nname: \"+word+\" gender: \"+word2)\n",
"word3=input('YES OR NO?')\n",
"if word3=='YES':\n",
" f=open('C:\\\\Users\\\\tan\\\\Desktop\\\\user_info.txt','w')\n",
" f.write(word+\" \"+word2)\n",
" f.close()"
]
},
{
"cell_type": "code",
"execution_count": null
,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"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": "3.8.3"
}
},
"nbformat": 4,
"nbformat_minor": 4
}
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