Tuples.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Tuples\n",
    "\n",
    "   - Tuples are ordered sequence of mixed data types\n",
    "   - Tuples are written in comma separated elements within parenthesis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "t = (1,2,3,4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "tuple"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(t)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "('hello', 5, 5.5)"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "t = ('hello', 5, 5.5)\n",
    "t"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "3"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(t)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "t1 = ('hello', 5, 5.5, [2,3,4])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "list"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "var = t1[3]\n",
    "type(var)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "3"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "var[1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "3"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "t1[3][1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "4"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(t1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "    Tuples can be defined in various ways"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(1, 2, 3, 4, 5)\n",
      "<class 'tuple'>\n"
     ]
    }
   ],
   "source": [
    "t1 = 1,2,3,4,5\n",
    "print(t1)\n",
    "print(type(t1))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "float"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "t1 = 1.2,\n",
    "type(t1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(t1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [],
   "source": [
    "t2 = (2,)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "t3 = 2,"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "tuple"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(t3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(1,)\n"
     ]
    }
   ],
   "source": [
    "#single value tuple\n",
    "\n",
    "t2 = 1,\n",
    "print(t2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(1,)\n"
     ]
    }
   ],
   "source": [
    "t3 = (1,)\n",
    "print(t3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [],
   "source": [
    "#This is not a tuple\n",
    "\n",
    "t4 = 1\n",
    "t5 = (1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "int"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(t5)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Indexing in tuple"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [],
   "source": [
    "t = (\"Mumbai\", 10, \"Python\", 100)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "4"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(t)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "('Python', 100)"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "t[2:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'WORLD'"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "str1 = \"HELLO WORLD\"\n",
    "str1[6:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Mumbai\n",
      "10\n"
     ]
    }
   ],
   "source": [
    "#gives the element at index location 0 i.e. 1st element\n",
    "\n",
    "print(t[0])\n",
    "\n",
    "#gives the element at index location 1\n",
    "\n",
    "print(t[1])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Slicing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "('Mumbai', 10)"
      ]
     },
     "execution_count": 100,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#slicing first 2 elements from t\n",
    "\n",
    "t = (\"Mumbai\", 10, \"Python\", 100)\n",
    "\n",
    "t[0:2]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "('Python', 100)"
      ]
     },
     "execution_count": 101,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "t[2:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 102,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "('Python', 100)"
      ]
     },
     "execution_count": 102,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "t[-2:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 103,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "('Python', 100)"
      ]
     },
     "execution_count": 103,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#slicing last 2 elements from t\n",
    "\n",
    "t[-2:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "4"
      ]
     },
     "execution_count": 104,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#find the number of elements in a tuple\n",
    "\n",
    "len(t)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Concatenation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [],
   "source": [
    "tup1 = (\"welcome\", \"to\", \"today's\")\n",
    "tup2 = (\"class\", \"on\", \"python\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [],
   "source": [
    "tup3 = tup1 + tup2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "('welcome', 'to', \"today's\", 'class', 'on', 'python')"
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tup3"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### min, max, sum functions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "20"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "t = (2,4,6,8)\n",
    "sum(t)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [
    {
     "ename": "TypeError",
     "evalue": "unsupported operand type(s) for +: 'int' and 'str'",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-59-509fb2708f06>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[0;32m      1\u001b[0m \u001b[0mt\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;33m(\u001b[0m\u001b[1;36m2\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;36m4\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;36m6\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;34m'hello'\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[0msum\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mt\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: unsupported operand type(s) for +: 'int' and 'str'"
     ]
    }
   ],
   "source": [
    "t = (2,4,6,'hello')\n",
    "sum(t)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2"
      ]
     },
     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "t = (2,4,6,8)\n",
    "min(t)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "8"
      ]
     },
     "execution_count": 110,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "t = (2,4,6,8)\n",
    "max(t)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 112,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "9"
      ]
     },
     "execution_count": 112,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "t = (5.5, 4.2, 5, 9)\n",
    "max(t)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [],
   "source": [
    "tuple1 = (1,2,3,4,\"hello\", \"world\", (1,2,3))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "7"
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(tuple1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2"
      ]
     },
     "execution_count": 64,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tuple1[-1][1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 120,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2"
      ]
     },
     "execution_count": 120,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tuple2 = (1,2,3)\n",
    "tuple2[1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 121,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2"
      ]
     },
     "execution_count": 121,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tuple1[6][1]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Immutability"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [],
   "source": [
    "t = (\"Hello!!\", \"Welcome\" , 5, 10, \"world\", \"of\", \"Analytics!!\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "10"
      ]
     },
     "execution_count": 66,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "t[3]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {},
   "outputs": [
    {
     "ename": "TypeError",
     "evalue": "'tuple' object does not support item assignment",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-72-bae901a244a5>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mt\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;36m2\u001b[0m\u001b[1;33m]\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;34m\"to\"\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[1;31mTypeError\u001b[0m: 'tuple' object does not support item assignment"
     ]
    }
   ],
   "source": [
    "t[2] = \"to\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "('Hello!!', 'Welcome')"
      ]
     },
     "execution_count": 68,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "t[0:2]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "('world', 'of', 'Analytics!!')"
      ]
     },
     "execution_count": 69,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "t[-3:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {},
   "outputs": [],
   "source": [
    "#How to update the 2nd and 3rd element\n",
    "\n",
    "new_tuple = t[0:2] + (\"to\", \"the\",) + t[-3:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "('Hello!!', 'Welcome', 'to', 'the', 'world', 'of', 'Analytics!!')"
      ]
     },
     "execution_count": 71,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "new_tuple"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'s'"
      ]
     },
     "execution_count": 77,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#QUESTION\n",
    "\n",
    "t = (\"disco\", 12, 4.5)\n",
    "t[0][2]\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Sorting a tuple"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[1, 2, 3, 4, 5, 8]\n",
      "<class 'list'>\n"
     ]
    }
   ],
   "source": [
    "t = (2,3,8,5,4,1)\n",
    "new_var = sorted(t)\n",
    "print(new_var)\n",
    "print(type(new_var))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[1, 2, 3, 4, 5, 8]"
      ]
     },
     "execution_count": 82,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "new_list = sorted(t)\n",
    "new_list"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Type casting\n",
    "\n",
    "t2 = tuple(new_list)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1, 2, 3, 4, 5, 8)"
      ]
     },
     "execution_count": 84,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "t2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1, 2, 3, 4, 5, 8)"
      ]
     },
     "execution_count": 85,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x = sorted(t)\n",
    "\n",
    "tuple(x)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Nested tuples\n",
    "\n",
    "t = (1,5,\"Hello\",\"World\", (\"Java\", \"Python\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Java'"
      ]
     },
     "execution_count": 87,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "t[4][0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#How to access Java ????"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#QUESTION 1\n",
    "\n",
    "t = (1, 2, 4, 3)\n",
    "\n",
    "#What will be the output of t[4]\n",
    "\n",
    "#QUESTION 2\n",
    "\n",
    "#Which of the following declarations can be used to create a Python tuple? \n",
    "#(More than one option may be correct.)\n",
    "\n",
    "x = ('2')\n",
    "x = 1,2,\n",
    "x = ((1,2,3), 4,5)\n",
    "x = (Hello,'2','3')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "tuple"
      ]
     },
     "execution_count": 91,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x = ('2')\n",
    "type(x)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "tuple"
      ]
     },
     "execution_count": 92,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x = 1,2,\n",
    "type(x)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "tuple"
      ]
     },
     "execution_count": 93,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x = ((1,2,3), 4,5)\n",
    "type(x)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "metadata": {},
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'Hello' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-96-c6ae7fac92a9>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mx\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;33m(\u001b[0m\u001b[0mHello\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;34m'2'\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;34m'3'\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      2\u001b[0m \u001b[0mtype\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mx\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mNameError\u001b[0m: name 'Hello' is not defined"
     ]
    }
   ],
   "source": [
    "x = (Hello,'2','3')\n",
    "type(x)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "tuple2 = (\"India\", \"Delhi\", 5, 10, [\"Rajkot\", \"Chennai\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 152,
   "metadata": {},
   "outputs": [],
   "source": [
    "tuple1 = (1,2,55,4,19,22)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 155,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(55, 22, 19, 4, 2, 1)\n"
     ]
    }
   ],
   "source": [
    "list1 = sorted(tuple1, reverse=True)\n",
    "tuple2 = tuple(list1)\n",
    "print(tuple2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 159,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "tuple"
      ]
     },
     "execution_count": 159,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tuple3 = (1,)\n",
    "type(tuple3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "attachments": {
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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![image.png](attachment:image.png)"
   ]
  },
  {
   "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": "3.7.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}