working_text_files-checkpoint.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "dd96e358",
   "metadata": {},
   "source": [
    "# workging with text Files"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "e2993d3f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "나의 이름은 Fred 입니다.\n",
      "나의 이름은 Fred입니다.\n"
     ]
    }
   ],
   "source": [
    "name='Fred'\n",
    "print('나의 이름은 {var} 입니다.'.format(var=name))\n",
    "print(f'나의 이름은 {name}입니다.')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "7770f99b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "주소: 123 456\n"
     ]
    }
   ],
   "source": [
    "d = {'a':123, 'b':456}\n",
    "print(f\"주소: {d['a']} {d['b']}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "e1836957",
   "metadata": {},
   "outputs": [],
   "source": [
    "library=[('Auther', 'Topic', 'Pages'), ('이도원', 'python', 600), ('홍길동', 'Machine Learning', '400'), \n",
    "         ('SSAC', 'Deep Leural Networking', '745')]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "6c185f16",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Auther     Topic                Pages               \n",
      "이도원        python                                600\n",
      "홍길동        Machine Learning     400                 \n",
      "SSAC       Deep Leural Networking 745                 \n"
     ]
    }
   ],
   "source": [
    "for book in library:\n",
    "    print(f'{book[0]:{10}} {book[1]:{20}} {book[2]:{20}}')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "b324fc4b",
   "metadata": {},
   "outputs": [],
   "source": [
    "from datetime import datetime"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "b87eb139",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "March 11, 2022\n"
     ]
    }
   ],
   "source": [
    "today = datetime(year=2022, month=3, day=11)\n",
    "print(f'{today:%B %d, %Y}')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "5ed3d707",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "id": "dd701660",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Overwriting test.txt\n"
     ]
    }
   ],
   "source": [
    "%%writefile test.txt\n",
    "Hello, this is a quick test file.\n",
    "This is the second line of the file."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "id": "f8070fcb",
   "metadata": {},
   "outputs": [
    {
     "ename": "FileNotFoundError",
     "evalue": "[Errno 2] No such file or directory: 'not_exists.txt'",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mFileNotFoundError\u001b[0m                         Traceback (most recent call last)",
      "\u001b[1;32m~\\AppData\\Local\\Temp/ipykernel_7108/3709730340.py\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mmyfile\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mopen\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'not_exists.txt'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[1;31mFileNotFoundError\u001b[0m: [Errno 2] No such file or directory: 'not_exists.txt'"
     ]
    }
   ],
   "source": [
    "myfile = open('not_exists.txt')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "id": "9e035af8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'C:\\\\Users\\\\user'"
      ]
     },
     "execution_count": 72,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pwd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "id": "6d822f04",
   "metadata": {},
   "outputs": [],
   "source": [
    "my_file = open('test.txt')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "id": "32061982",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<_io.TextIOWrapper name='test.txt' mode='r' encoding='cp949'>"
      ]
     },
     "execution_count": 74,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "my_file"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "id": "5f0eb8f9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Hello, this is a quick test file.\\nThis is the second line of the file.\\n\\nThis line is being appended to test.txt\\nAnd anthoer line here\\nThis line is being appended to test.txt\\nAnd anthoer line here.'"
      ]
     },
     "execution_count": 76,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "my_file.read()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "id": "737cbf74",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "''"
      ]
     },
     "execution_count": 77,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "my_file.read()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "id": "d1e1bc59",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 78,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "my_file.seek(0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "id": "e5cf96b3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Hello, this is a quick test file.\\nThis is the second line of the file.\\n\\nThis line is being appended to test.txt\\nAnd anthoer line here\\nThis line is being appended to test.txt\\nAnd anthoer line here.'"
      ]
     },
     "execution_count": 79,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "my_file.read()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "id": "a056ad6e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['Hello, this is a quick test file.\\n',\n",
       " 'This is the second line of the file.\\n',\n",
       " '\\n',\n",
       " 'This line is being appended to test.txt\\n',\n",
       " 'And anthoer line here\\n',\n",
       " 'This line is being appended to test.txt\\n',\n",
       " 'And anthoer line here.']"
      ]
     },
     "execution_count": 80,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "my_file.seek(0)\n",
    "my_file.readlines()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "id": "f75d4b03",
   "metadata": {},
   "outputs": [],
   "source": [
    "my_file.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "id": "eeb95d7b",
   "metadata": {},
   "outputs": [],
   "source": [
    "my_file = open('test.txt', 'w+')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "id": "aa79ead5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "''"
      ]
     },
     "execution_count": 84,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "my_file.read()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "id": "df1ac4ca",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "24"
      ]
     },
     "execution_count": 85,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "my_file.write('This is a new first line')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "id": "6ea1754d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'This is a new first line'"
      ]
     },
     "execution_count": 86,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "my_file.seek(0)\n",
    "my_file.read()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "id": "d2669fbb",
   "metadata": {},
   "outputs": [],
   "source": [
    "my_file.close()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "id": "3fbd5cdb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "23"
      ]
     },
     "execution_count": 88,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "my_file = open('test.txt', 'a+')\n",
    "my_file.write('\\nThis line is being appended to test.txt')\n",
    "my_file.write('\\nAnd anthoer line here.')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "id": "a1aab38e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "This is a new first line\n",
      "This line is being appended to test.txt\n",
      "And anthoer line here.\n"
     ]
    }
   ],
   "source": [
    "my_file.seek(0)\n",
    "print(my_file.read())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "id": "291b2271",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "This is a new first line\n",
      "\n"
     ]
    }
   ],
   "source": [
    "with open('test.txt', 'r') as txt:\n",
    "    first_line = txt.readlines()[0]\n",
    "\n",
    "print(first_line)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "id": "26340a0d",
   "metadata": {},
   "outputs": [
    {
     "ename": "ValueError",
     "evalue": "I/O operation on closed file.",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mValueError\u001b[0m                                Traceback (most recent call last)",
      "\u001b[1;32m~\\AppData\\Local\\Temp/ipykernel_7108/3908342552.py\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mtxt\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mread\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[1;31mValueError\u001b[0m: I/O operation on closed file."
     ]
    }
   ],
   "source": [
    "txt.read()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "id": "b6e2477d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "This is a new first line\n",
      "This line is being appended to test.txt\n",
      "And anthoer line here."
     ]
    }
   ],
   "source": [
    "# 파일에 저장된 모든 라인을 출력하시오. \n",
    "with open('test.txt', 'r') as txt:\n",
    "    for line in txt:\n",
    "        print(line, end='')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d88a31ba",
   "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": "3.9.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}