Python 3 - Built-In Libraries.ipynb

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    "# Python Packages\n",
    "## Package\n",
    "\n",
    "A package is a collection of modules. In other words, it is a directory of Python modules.\n",
    "\n",
    "### The packages discussed in this course are:\n",
    "\n",
    "1. Built-in\n",
    "2. Regular Expression\n",
    "3. Third-party\n",
    "4. Serialization and De-serialization\n",
    "\n",
    "\n",
    "### 1. Built-in packages are:\n",
    "\n",
    "1. os\n",
    "2. sys\n",
    "3. shutils\n",
    "4. datetime\n",
    "5. collections\n",
    "6. itertools"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d76a21d3",
   "metadata": {},
   "source": [
    "# 1. OS"
   ]
  },
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"
    }
   },
   "cell_type": "markdown",
   "id": "0880b882",
   "metadata": {},
   "source": [
    "![image.png](attachment:image.png)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "7d902cb6",
   "metadata": {},
   "outputs": [
    {
     "ename": "TypeError",
     "evalue": "'str' object is not callable",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-1-2e562168c3e2>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[0;32m      1\u001b[0m \u001b[1;32mimport\u001b[0m \u001b[0mos\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      2\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 3\u001b[1;33m \u001b[0mos\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mname\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;31mTypeError\u001b[0m: 'str' object is not callable"
     ]
    }
   ],
   "source": [
    "import os\n",
    "\n",
    "os.name()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "4b0b3810",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'C:\\\\Users\\\\Shubham\\\\Documents\\\\Python Developer'"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "os.getcwd()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "f1737c8a",
   "metadata": {},
   "outputs": [],
   "source": [
    "os.mkdir(\"new folder from python tutorial\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "5e3d5082",
   "metadata": {},
   "outputs": [],
   "source": [
    "os.rename(\"Coding\", \"Coding_new\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "e150d848",
   "metadata": {},
   "outputs": [],
   "source": [
    "os.rename(\"Coding_new\", \"Coding\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "f0f9c2c0",
   "metadata": {},
   "outputs": [],
   "source": [
    "os.rmdir('new folder from python tutorial')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "3de41588",
   "metadata": {},
   "outputs": [
    {
     "ename": "TypeError",
     "evalue": "close() missing required argument 'fd' (pos 1)",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-15-41541597342e>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mos\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mclose\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;31mTypeError\u001b[0m: close() missing required argument 'fd' (pos 1)"
     ]
    }
   ],
   "source": [
    "os.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "d184ec79",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'C:\\\\Users\\\\Shubham\\\\Documents'"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "os.chdir(\"C:\\\\Users\\\\Shubham\\\\Documents\\\\\")\n",
    "os.getcwd()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "11bf5d15",
   "metadata": {
    "collapsed": true,
    "jupyter": {
     "outputs_hidden": true
    }
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a78f6263",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e28cb32e",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "715bc526",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b7120b9d",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "feeba5af",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a5e7530c",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ad59f361",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "9e1add13",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "56ca314d",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "39ecd9e5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['.ipynb_checkpoints',\n",
       " 'Data Science',\n",
       " 'DCA',\n",
       " 'desktop.ini',\n",
       " 'McAfee Vaults',\n",
       " 'My Music',\n",
       " 'My Pictures',\n",
       " 'My Videos',\n",
       " 'Python Developer',\n",
       " 'Soft Skills',\n",
       " 'YouTube.pdf']"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "os.listdir()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b5429557",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "91ead769",
   "metadata": {},
   "source": [
    "# 2. Sys"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "5bc3c9dd",
   "metadata": {},
   "outputs": [],
   "source": [
    "import sys"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "82226694",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "This is error"
     ]
    }
   ],
   "source": [
    "sys.stderr.write('This is error')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "211998b2",
   "metadata": {},
   "outputs": [],
   "source": [
    "sys.stderr.flush()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "16f30448",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'C:\\\\Users\\\\Shubham\\\\anaconda3\\\\lib\\\\site-packages\\\\ipykernel_launcher.py'"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sys.argv[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "ede679bd",
   "metadata": {},
   "outputs": [
    {
     "ename": "FileNotFoundError",
     "evalue": "[WinError 2] The system cannot find the file specified: 'New Folder'",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mFileNotFoundError\u001b[0m                         Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-45-c1b5102139b5>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mos\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mrmdir\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m\"New Folder\"\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: [WinError 2] The system cannot find the file specified: 'New Folder'"
     ]
    }
   ],
   "source": [
    "os.rmdir(\"New Folder\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "31401426",
   "metadata": {},
   "outputs": [
    {
     "ename": "FileExistsError",
     "evalue": "[WinError 183] Cannot create a file when that file already exists: 'New Folder'",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mFileExistsError\u001b[0m                           Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-51-1fe79b5025f7>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[0;32m      1\u001b[0m \u001b[0ms\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mos\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mgetcwd\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[1;32m----> 2\u001b[1;33m \u001b[0mos\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mmkdir\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m\"New Folder\"\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m      3\u001b[0m \u001b[0mos\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mchdir\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0ms\u001b[0m\u001b[1;33m+\u001b[0m\u001b[1;34m\"\\\\New Folder\"\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      4\u001b[0m \u001b[0mos\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mgetcwd\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[1;31mFileExistsError\u001b[0m: [WinError 183] Cannot create a file when that file already exists: 'New Folder'"
     ]
    }
   ],
   "source": [
    "s=os.getcwd()\n",
    "os.mkdir(\"New Folder\")\n",
    "os.chdir(s+\"\\\\New Folder\")\n",
    "os.getcwd()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "06325462",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'C:\\\\Users\\\\Shubham\\\\Documents\\\\New Folder\\\\New Folder\\\\New Folder\\\\New Folder'"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "os.getcwd()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "e223d4b3",
   "metadata": {},
   "outputs": [
    {
     "ename": "FileNotFoundError",
     "evalue": "[WinError 2] The system cannot find the file specified: 'New Folder'",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mFileNotFoundError\u001b[0m                         Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-47-38ef03a7b4cf>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mos\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mrmdir\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'New Folder'\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: [WinError 2] The system cannot find the file specified: 'New Folder'"
     ]
    }
   ],
   "source": [
    "os.rmdir('New Folder')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "id": "10da040b",
   "metadata": {},
   "outputs": [],
   "source": [
    "os.chdir(\"C:\\\\Users\\\\Shubham\\\\\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "id": "24e14acf",
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "#Write your code here\n",
    "s = os.getcwd()\n",
    "os.mkdir(\"New Folder\")\n",
    "os.chdir(s+\"\\\\New Folder\")\n",
    "q = os.getcwd()\n",
    "\n",
    "os.chdir(s)\n",
    "os.rename(\"New Folder\", \"New Folder2\")\n",
    "os.chdir(s+\"\\\\New Folder2\")\n",
    "p = os.getcwd()\n",
    "\n",
    "os.chdir(s)\n",
    "os.rmdir(\"New Folder2\")\n",
    "w = os.getcwd()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "id": "d5bb631b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Shubham\n",
      "C:\\Users\\Shubham\\New Folder\n",
      "C:\\Users\\Shubham\\New Folder2\n",
      "C:\\Users\\Shubham\n"
     ]
    }
   ],
   "source": [
    "print(s)\n",
    "print(q)\n",
    "print(p)\n",
    "print(w)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "id": "49009af2",
   "metadata": {},
   "outputs": [
    {
     "ename": "FileNotFoundError",
     "evalue": "[WinError 2] The system cannot find the file specified: 'New Folder'",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mFileNotFoundError\u001b[0m                         Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-58-c1b5102139b5>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mos\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mrmdir\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m\"New Folder\"\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: [WinError 2] The system cannot find the file specified: 'New Folder'"
     ]
    }
   ],
   "source": [
    "os.rmdir(\"New Folder\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "439d5866",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
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  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
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   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
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