{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "8818bde1",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Gavaskar,India,10122,3092\n",
      "Tendulkar,India,15921,18426\n",
      "Dravid,India,13288,10889\n"
     ]
    }
   ],
   "source": [
    "f = open('players.csv', 'r')\n",
    "for line in f:\n",
    "    line = line.strip() # whitespace around the line\n",
    "    fields = line.split(',')\n",
    "    if fields[1] == 'India':\n",
    "        print(line)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "3c00db18",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Gavaskar\tIndia 10122 3092\n",
      "Tendulkar India 15921 18426\n",
      "Dravid India 13288 10889\n"
     ]
    }
   ],
   "source": [
    "f = open('players.txt', 'r')\n",
    "for line in f:\n",
    "    line = line.strip() # whitespace around the line\n",
    "    #print(line)\n",
    "    fields = line.split()\n",
    "    if fields[1] == 'India':\n",
    "        print(line)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "a4af1a94",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1\n",
      "player country testrun odirun\n",
      "1\n",
      "Gavaskar India 10122 3092\n",
      "1\n",
      "Border Aus 11174 6524\n",
      "1\n",
      "Waugh Aus 10927 7569\n",
      "1\n",
      "Lara WI 11953 10405\n",
      "1\n",
      "Chanderpaul WI 11219 8778\n",
      "1\n",
      "Jayawardene SL 11319 11549\n",
      "1\n",
      "Tendulkar India 15921 18426\n",
      "1\n",
      "Ponting Aus 13378 13704\n",
      "1\n",
      "Kallis SA 13289 11574\n",
      "1\n",
      "Dravid India 13288 10889\n",
      "1\n",
      "Sangakkara SL 11151 12548\n"
     ]
    }
   ],
   "source": [
    "f = open('players.txt', 'r')\n",
    "for line in f:\n",
    "    line = line.strip() # whitespace around the line\n",
    "    #print(line)\n",
    "    fields = line.split('\\n')\n",
    "    print(len(fields))\n",
    "    print(fields[0])\n",
    "    #if fields[1] == 'India':\n",
    "    #    print(line)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "1300936c",
   "metadata": {},
   "outputs": [],
   "source": [
    "a,b = 1,2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "2e1cf34c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "a"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "f2e55862",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "b"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "d17182d8",
   "metadata": {},
   "outputs": [],
   "source": [
    "b,a = a,b"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "db58f29e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "b"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "2add22a3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "a"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "98422ecd",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'int'>\n"
     ]
    }
   ],
   "source": [
    "print(type(a))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "774502cf",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'int'>\n"
     ]
    }
   ],
   "source": [
    "print(type(b))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "079e3950",
   "metadata": {},
   "outputs": [],
   "source": [
    "c = a + b"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "ddf14ca4",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'int'>\n"
     ]
    }
   ],
   "source": [
    "print(type(c))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "49bf3f80",
   "metadata": {},
   "outputs": [],
   "source": [
    "d = a.__add__(b)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "760d1489",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "3"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "d"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "95c2c4be",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "3"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "c"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "f12b0c5c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'int'>\n"
     ]
    }
   ],
   "source": [
    "print(type(d))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "46672797",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['__abs__',\n",
       " '__add__',\n",
       " '__and__',\n",
       " '__bool__',\n",
       " '__ceil__',\n",
       " '__class__',\n",
       " '__delattr__',\n",
       " '__dir__',\n",
       " '__divmod__',\n",
       " '__doc__',\n",
       " '__eq__',\n",
       " '__float__',\n",
       " '__floor__',\n",
       " '__floordiv__',\n",
       " '__format__',\n",
       " '__ge__',\n",
       " '__getattribute__',\n",
       " '__getnewargs__',\n",
       " '__getstate__',\n",
       " '__gt__',\n",
       " '__hash__',\n",
       " '__index__',\n",
       " '__init__',\n",
       " '__init_subclass__',\n",
       " '__int__',\n",
       " '__invert__',\n",
       " '__le__',\n",
       " '__lshift__',\n",
       " '__lt__',\n",
       " '__mod__',\n",
       " '__mul__',\n",
       " '__ne__',\n",
       " '__neg__',\n",
       " '__new__',\n",
       " '__or__',\n",
       " '__pos__',\n",
       " '__pow__',\n",
       " '__radd__',\n",
       " '__rand__',\n",
       " '__rdivmod__',\n",
       " '__reduce__',\n",
       " '__reduce_ex__',\n",
       " '__repr__',\n",
       " '__rfloordiv__',\n",
       " '__rlshift__',\n",
       " '__rmod__',\n",
       " '__rmul__',\n",
       " '__ror__',\n",
       " '__round__',\n",
       " '__rpow__',\n",
       " '__rrshift__',\n",
       " '__rshift__',\n",
       " '__rsub__',\n",
       " '__rtruediv__',\n",
       " '__rxor__',\n",
       " '__setattr__',\n",
       " '__sizeof__',\n",
       " '__str__',\n",
       " '__sub__',\n",
       " '__subclasshook__',\n",
       " '__truediv__',\n",
       " '__trunc__',\n",
       " '__xor__',\n",
       " 'as_integer_ratio',\n",
       " 'bit_count',\n",
       " 'bit_length',\n",
       " 'conjugate',\n",
       " 'denominator',\n",
       " 'from_bytes',\n",
       " 'imag',\n",
       " 'is_integer',\n",
       " 'numerator',\n",
       " 'real',\n",
       " 'to_bytes']"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dir(a)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "3b89387b",
   "metadata": {},
   "outputs": [],
   "source": [
    "p_list = ['Perl', 'Python', 'Ruby']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "d3bb9424",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0 Perl\n",
      "1 Python\n",
      "2 Ruby\n"
     ]
    }
   ],
   "source": [
    "for index in list(range(len(p_list))):\n",
    "    print(index, p_list[index])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "id": "1ad654cd",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "range(0, 3)"
      ]
     },
     "execution_count": 71,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "range(len(p_list))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "id": "69f3f84b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "range(0, 3)"
      ]
     },
     "execution_count": 69,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "l"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "id": "f71f871c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Perl\n",
      "Python\n",
      "Ruby\n"
     ]
    }
   ],
   "source": [
    "for index in range(len(p_list)):\n",
    "    print(p_list[index])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "3a3da385",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Perl\n",
      "Python\n",
      "Ruby\n"
     ]
    }
   ],
   "source": [
    "for v in p_list:\n",
    "    print(v)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "b2995212",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0 Perl\n",
      "1 Python\n",
      "2 Ruby\n"
     ]
    }
   ],
   "source": [
    "for i,v in enumerate(p_list):\n",
    "    print(i, v)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "394a420a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0 Perl\n",
      "1 Python\n",
      "2 Ruby\n"
     ]
    }
   ],
   "source": [
    "for index in list(range(len(p_list))):\n",
    "    print(index, p_list[index])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "f5f1101b",
   "metadata": {},
   "outputs": [],
   "source": [
    "given = ['Sachin','Rahul','Sourav','VVS']\n",
    "family = ['Tendulkar','Dravid', 'Ganguly','Laxman']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "6496af3a",
   "metadata": {},
   "outputs": [],
   "source": [
    "players = {}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "2f1c426e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'dict'>\n"
     ]
    }
   ],
   "source": [
    "print(type(players))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "e204aee0",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0 Sachin\n",
      "1 Rahul\n",
      "2 Sourav\n",
      "3 VVS\n"
     ]
    }
   ],
   "source": [
    "for i,v in enumerate(given):\n",
    "    print(i,v)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "id": "04b08282",
   "metadata": {},
   "outputs": [],
   "source": [
    "for i,v in enumerate(given):\n",
    "    players[v] = family[i]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "34c9dc5c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'Sachin': 'Tendulkar',\n",
       " 'Rahul': 'Dravid',\n",
       " 'Sourav': 'Ganguly',\n",
       " 'VVS': 'Laxman'}"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "players"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "id": "823f0128",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<zip at 0x7aca44577800>"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "zip(given, family)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "id": "111ad4a0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[('Sachin', 'Tendulkar'),\n",
       " ('Rahul', 'Dravid'),\n",
       " ('Sourav', 'Ganguly'),\n",
       " ('VVS', 'Laxman')]"
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "list(zip(given, family))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "id": "c1d72011",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'Sachin': 'Tendulkar',\n",
       " 'Rahul': 'Dravid',\n",
       " 'Sourav': 'Ganguly',\n",
       " 'VVS': 'Laxman'}"
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dict(zip(given, family))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "id": "4f55699d",
   "metadata": {},
   "outputs": [],
   "source": [
    "name = 'Anil'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "id": "f99f73e0",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "key Anil does not exist\n"
     ]
    }
   ],
   "source": [
    "if name in players:\n",
    "  f = players[name]\n",
    "else:\n",
    "  print ('key %s does not exist' % name)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "id": "ca65aaa2",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Hello world!\n"
     ]
    }
   ],
   "source": [
    "try:\n",
    "  f = players['Sachin']\n",
    "except KeyError:\n",
    "  traceback.print_exc()\n",
    "finally:\n",
    "  print('Hello world!')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "69082829",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pickle as pk\n",
    "\n",
    "a = {'key1': (1,2,3, 'world', [1,2,3]), \n",
    "     'key2': {'b': 0, 'c': -1, 'd': 11}}\n",
    "b = {'a': 1, 'b': 2}\n",
    "\n",
    "f = open('store.pk', 'wb')\n",
    "pk.dump(a,f)\n",
    "pk.dump(b,f)\n",
    "f.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "a556ea58",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'key1': (1, 2, 3, 'world', [1, 2, 3]), 'key2': {'b': 0, 'c': -1, 'd': 11}}\n"
     ]
    }
   ],
   "source": [
    "f = open('store.pk', 'rb')    \n",
    "a = pk.load(f)\n",
    "print(a)\n",
    "f.close()"
   ]
  }
 ],
 "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": "3.12.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}