Notebooks/Day09_Lists_and_Tuples_in_Python.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a href=\"https://apssdc.in\"><img src=\"https://camo.githubusercontent.com/e7501c5948d48f88dad8ab2ab6bd448e1cfd6c79/68747470733a2f2f64726976652e676f6f676c652e636f6d2f75633f6578706f72743d646f776e6c6f61642669643d3135414b51365f2d42697857344b366d4c36525070684635454b58715946327a6a\" width=\"900\" align=\"center\"></a>\n",
    "\n",
    "<h1><center>Day 09 Lists and Tuples in Python</center></h1>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Recap\n",
    "\n",
    "- Strings\n",
    "- String Methods\n",
    "- List Intro..\n",
    "-------\n",
    "\n",
    "\n",
    "### Todays Objectives\n",
    "\n",
    "- Accessing Elements of List\n",
    "    - Indexing\n",
    "    - Slicing\n",
    "- List Methods\n",
    "- Tuple\n",
    "    - Accessing Elements of Tuple\n",
    "        - Indexing\n",
    "        - Slicing\n",
    "    - Tuple Methods"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "li = [1, 2, 5, 4, 8, 85]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "6 85 1 105\n"
     ]
    }
   ],
   "source": [
    "print(len(li), max(li), min(li), sum(li))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "7\n"
     ]
    },
    {
     "ename": "TypeError",
     "evalue": "'<' not supported between instances of 'str' and 'int'",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-3-831c9faba063>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[0;32m      4\u001b[0m \u001b[0mprint\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mlen\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mli2\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[0;32m      5\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 6\u001b[1;33m \u001b[0mprint\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mmin\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mli2\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: '<' not supported between instances of 'str' and 'int'"
     ]
    }
   ],
   "source": [
    "li2 = [1, 2, 5, 4, 8, 85, 'Python']\n",
    "\n",
    "\n",
    "print(len(li2))\n",
    "print(min(li2))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Accessing Elements from the list\n",
    "\n",
    "\n",
    "- Indexing\n",
    "    - +ve\n",
    "    - -ve\n",
    "- Slicing \n",
    "    - +ve\n",
    "    - -ve"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1\n"
     ]
    }
   ],
   "source": [
    "print(li[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "85\n"
     ]
    }
   ],
   "source": [
    "print(li[5])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "8\n"
     ]
    }
   ],
   "source": [
    "print(li[-2])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1\n"
     ]
    }
   ],
   "source": [
    "print(li[-6])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "ename": "IndexError",
     "evalue": "list index out of range",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mIndexError\u001b[0m                                Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-9-c96b4b304720>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mprint\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mli\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;36m7\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;31mIndexError\u001b[0m: list index out of range"
     ]
    }
   ],
   "source": [
    "print(li[7])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "ename": "TypeError",
     "evalue": "list indices must be integers or slices, not float",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-10-f165e6fb7646>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mprint\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mli\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;36m1.2\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: list indices must be integers or slices, not float"
     ]
    }
   ],
   "source": [
    "print(li[1.2])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Syntax\n",
    "\n",
    "list_var[SI: EI]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[1] [1, 2] [1, 2] [1, 2, 5, 4, 8, 85]\n"
     ]
    }
   ],
   "source": [
    "print(li[0:1], li[0: 2], li[: 2], li[0:])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[1, 2, 5, 4] [] [8, 85] [8, 85] [1, 2, 5]\n"
     ]
    }
   ],
   "source": [
    "print(li[:-2], li[-1:-3], li[4:], li[len(li) - 2:], li[:-3])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[8, 85] [4, 8, 85] [4, 8]\n"
     ]
    }
   ],
   "source": [
    "print(li[-2: ], li[-3: ], li[-3: -1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[85, 8, 4]\n"
     ]
    }
   ],
   "source": [
    "print(li[ : 2: -1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[85, 8, 4, 5, 2, 1]\n"
     ]
    }
   ],
   "source": [
    "print(li[::-1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[1, 5, 8]\n"
     ]
    }
   ],
   "source": [
    "print(li[0::2])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[85, 8, 4]\n"
     ]
    }
   ],
   "source": [
    "print(li[:2:-1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[1, 2, 5, 4, 8, 85]"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "li"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[85, 8, 4]\n"
     ]
    }
   ],
   "source": [
    "print(li[:2:-1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[85, 8, 4, 5, 2, 1]\n"
     ]
    }
   ],
   "source": [
    "print(li[: :-1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[1, 5, 8]\n"
     ]
    }
   ],
   "source": [
    "print(li[: :2])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[85, 4, 2]\n"
     ]
    }
   ],
   "source": [
    "print(li[: :-2])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[1, 2, 5, 4, 8, 85]\n"
     ]
    }
   ],
   "source": [
    "print(li)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[1, 2, 5, 4, 8, 85, 'Python']\n"
     ]
    }
   ],
   "source": [
    "print(li2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "7\n"
     ]
    }
   ],
   "source": [
    "print(len(li2))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1 85\n"
     ]
    }
   ],
   "source": [
    "print(li2[0], li2[5])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Python 8\n"
     ]
    }
   ],
   "source": [
    "print(li2[-1], li[-2])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'PYTHON'"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "li2[-1].upper()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Python'"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "li2[-1].strip()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[1, 2, 5, 4, 8] [1, 2, 5, 4, 8]\n"
     ]
    }
   ],
   "source": [
    "print(li2[0:5], li2[ :5])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[8, 85, 'Python']\n"
     ]
    }
   ],
   "source": [
    "print(li2[-3:])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[1, 5, 8, 'Python']\n"
     ]
    }
   ],
   "source": [
    "print(li2[0: :2])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['Python', 8, 5, 1]\n"
     ]
    }
   ],
   "source": [
    "print(li2[: :-2])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['Python', 85, 8, 4, 5, 2, 1]\n"
     ]
    }
   ],
   "source": [
    "print(li2[::-1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[1, 2, 3], [4, 5, 6], [6, 7, 8]]\n"
     ]
    }
   ],
   "source": [
    "matrix = [[1,2,3],[4,5,6], [6,7,8]]\n",
    "\n",
    "print(matrix)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[1, 2, 3]\n"
     ]
    }
   ],
   "source": [
    "print(matrix[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1\n"
     ]
    }
   ],
   "source": [
    "print(matrix[0][0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "5\n"
     ]
    }
   ],
   "source": [
    "print(matrix[1][1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[2, 3] [2]\n"
     ]
    }
   ],
   "source": [
    "print(matrix[0][1:], matrix[0][1:2])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[6, 5, 4]\n"
     ]
    }
   ],
   "source": [
    "print(matrix[1][::-1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "3 8\n"
     ]
    }
   ],
   "source": [
    "print(len(matrix[2]), max(matrix[2]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[2]\n"
     ]
    }
   ],
   "source": [
    "print(matrix[0][1:2])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[1, 2, 3]\n",
      "[4, 5, 6]\n",
      "[6, 7, 8]\n"
     ]
    }
   ],
   "source": [
    "for ele in matrix:\n",
    "    print(ele)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1\n",
      "2\n",
      "5\n",
      "4\n",
      "8\n",
      "85\n"
     ]
    }
   ],
   "source": [
    "for ele in li:\n",
    "    print(ele)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2\n",
      "5\n",
      "7\n"
     ]
    }
   ],
   "source": [
    "for i in range(3):\n",
    "    for j in range(3):\n",
    "        if j==1:\n",
    "            print(matrix[i][j])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2\n",
      "5\n",
      "7\n"
     ]
    }
   ],
   "source": [
    "for ele in matrix:\n",
    "    print(ele[1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[1, 2, 3], [4, 5, 6], [6, 7, 8]] [6, 7, 8]\n"
     ]
    }
   ],
   "source": [
    "print(matrix[:], matrix[:][2])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[2, 3]\n",
      "[5, 6]\n",
      "[7, 8]\n",
      "2 3\n",
      "5 6\n",
      "7 8\n"
     ]
    }
   ],
   "source": [
    "for ele in matrix:\n",
    "    print(ele[1:])\n",
    "    \n",
    "for ele in matrix:\n",
    "    print(ele[1], ele[2])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### List Methods"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [],
   "source": [
    "empty = []"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[5, 55, [1, 2, 3]]\n"
     ]
    }
   ],
   "source": [
    "empty.append(5)\n",
    "empty.append(55)\n",
    "empty.append([1,2,3])\n",
    "\n",
    "print(empty)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Enter elements to add to list53\n",
      "Enter elements to add to listgdf\n",
      "Enter elements to add to listdgd\n",
      "Enter elements to add to list343\n",
      "Enter elements to add to list5\n"
     ]
    }
   ],
   "source": [
    "for i in range(5):\n",
    "    empty.append(input(\"Enter elements to add to list\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[5, 55, [1, 2, 3], '53', 'gdf', 'dgd', '343', '5']\n"
     ]
    }
   ],
   "source": [
    "print(empty)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "ERROR:root:Internal Python error in the inspect module.\n",
      "Below is the traceback from this internal error.\n",
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\Jesus\\anaconda3\\lib\\site-packages\\IPython\\core\\interactiveshell.py\", line 3343, in run_code\n",
      "    exec(code_obj, self.user_global_ns, self.user_ns)\n",
      "  File \"<ipython-input-71-d7c67c993e5e>\", line 3, in <module>\n",
      "    a.append(i.upper())\n",
      "KeyboardInterrupt\n",
      "\n",
      "During handling of the above exception, another exception occurred:\n",
      "\n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\Jesus\\anaconda3\\lib\\site-packages\\IPython\\core\\interactiveshell.py\", line 2044, in showtraceback\n",
      "    stb = value._render_traceback_()\n",
      "AttributeError: 'KeyboardInterrupt' object has no attribute '_render_traceback_'\n",
      "\n",
      "During handling of the above exception, another exception occurred:\n",
      "\n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\Jesus\\anaconda3\\lib\\site-packages\\IPython\\core\\ultratb.py\", line 1169, in get_records\n",
      "    return _fixed_getinnerframes(etb, number_of_lines_of_context, tb_offset)\n",
      "  File \"C:\\Users\\Jesus\\anaconda3\\lib\\site-packages\\IPython\\core\\ultratb.py\", line 316, in wrapped\n",
      "    return f(*args, **kwargs)\n",
      "  File \"C:\\Users\\Jesus\\anaconda3\\lib\\site-packages\\IPython\\core\\ultratb.py\", line 350, in _fixed_getinnerframes\n",
      "    records = fix_frame_records_filenames(inspect.getinnerframes(etb, context))\n",
      "  File \"C:\\Users\\Jesus\\anaconda3\\lib\\inspect.py\", line 1503, in getinnerframes\n",
      "    frameinfo = (tb.tb_frame,) + getframeinfo(tb, context)\n",
      "  File \"C:\\Users\\Jesus\\anaconda3\\lib\\inspect.py\", line 1461, in getframeinfo\n",
      "    filename = getsourcefile(frame) or getfile(frame)\n",
      "  File \"C:\\Users\\Jesus\\anaconda3\\lib\\inspect.py\", line 708, in getsourcefile\n",
      "    if getattr(getmodule(object, filename), '__loader__', None) is not None:\n",
      "  File \"C:\\Users\\Jesus\\anaconda3\\lib\\inspect.py\", line 746, in getmodule\n",
      "    f = module.__file__\n",
      "KeyboardInterrupt\n"
     ]
    },
    {
     "ename": "TypeError",
     "evalue": "object of type 'NoneType' has no len()",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)",
      "    \u001b[1;31m[... skipping hidden 1 frame]\u001b[0m\n",
      "\u001b[1;32m<ipython-input-71-d7c67c993e5e>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[0;32m      2\u001b[0m \u001b[1;32mfor\u001b[0m \u001b[0mi\u001b[0m \u001b[1;32min\u001b[0m \u001b[0ma\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 3\u001b[1;33m     \u001b[0ma\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mappend\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mi\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mupper\u001b[0m\u001b[1;33m(\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[0;32m      4\u001b[0m \u001b[0mprint\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0ma\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mKeyboardInterrupt\u001b[0m: ",
      "\nDuring handling of the above exception, another exception occurred:\n",
      "\u001b[1;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
      "\u001b[1;32m~\\anaconda3\\lib\\site-packages\\IPython\\core\\interactiveshell.py\u001b[0m in \u001b[0;36mshowtraceback\u001b[1;34m(self, exc_tuple, filename, tb_offset, exception_only, running_compiled_code)\u001b[0m\n\u001b[0;32m   2043\u001b[0m                         \u001b[1;31m# in the engines. This should return a list of strings.\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 2044\u001b[1;33m                         \u001b[0mstb\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mvalue\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_render_traceback_\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[0;32m   2045\u001b[0m                     \u001b[1;32mexcept\u001b[0m \u001b[0mException\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mAttributeError\u001b[0m: 'KeyboardInterrupt' object has no attribute '_render_traceback_'",
      "\nDuring handling of the above exception, another exception occurred:\n",
      "\u001b[1;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
      "    \u001b[1;31m[... skipping hidden 1 frame]\u001b[0m\n",
      "\u001b[1;32m~\\anaconda3\\lib\\site-packages\\IPython\\core\\interactiveshell.py\u001b[0m in \u001b[0;36mshowtraceback\u001b[1;34m(self, exc_tuple, filename, tb_offset, exception_only, running_compiled_code)\u001b[0m\n\u001b[0;32m   2044\u001b[0m                         \u001b[0mstb\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mvalue\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_render_traceback_\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[0;32m   2045\u001b[0m                     \u001b[1;32mexcept\u001b[0m \u001b[0mException\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 2046\u001b[1;33m                         stb = self.InteractiveTB.structured_traceback(etype,\n\u001b[0m\u001b[0;32m   2047\u001b[0m                                             value, tb, tb_offset=tb_offset)\n\u001b[0;32m   2048\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\anaconda3\\lib\\site-packages\\IPython\\core\\ultratb.py\u001b[0m in \u001b[0;36mstructured_traceback\u001b[1;34m(self, etype, value, tb, tb_offset, number_of_lines_of_context)\u001b[0m\n\u001b[0;32m   1433\u001b[0m         \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1434\u001b[0m             \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mtb\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mtb\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1435\u001b[1;33m         return FormattedTB.structured_traceback(\n\u001b[0m\u001b[0;32m   1436\u001b[0m             self, etype, value, tb, tb_offset, number_of_lines_of_context)\n\u001b[0;32m   1437\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\anaconda3\\lib\\site-packages\\IPython\\core\\ultratb.py\u001b[0m in \u001b[0;36mstructured_traceback\u001b[1;34m(self, etype, value, tb, tb_offset, number_of_lines_of_context)\u001b[0m\n\u001b[0;32m   1333\u001b[0m         \u001b[1;32mif\u001b[0m \u001b[0mmode\u001b[0m \u001b[1;32min\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mverbose_modes\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1334\u001b[0m             \u001b[1;31m# Verbose modes need a full traceback\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1335\u001b[1;33m             return VerboseTB.structured_traceback(\n\u001b[0m\u001b[0;32m   1336\u001b[0m                 \u001b[0mself\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0metype\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mvalue\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mtb\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mtb_offset\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mnumber_of_lines_of_context\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1337\u001b[0m             )\n",
      "\u001b[1;32m~\\anaconda3\\lib\\site-packages\\IPython\\core\\ultratb.py\u001b[0m in \u001b[0;36mstructured_traceback\u001b[1;34m(self, etype, evalue, etb, tb_offset, number_of_lines_of_context)\u001b[0m\n\u001b[0;32m   1190\u001b[0m         \u001b[1;34m\"\"\"Return a nice text document describing the traceback.\"\"\"\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1191\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1192\u001b[1;33m         formatted_exception = self.format_exception_as_a_whole(etype, evalue, etb, number_of_lines_of_context,\n\u001b[0m\u001b[0;32m   1193\u001b[0m                                                                tb_offset)\n\u001b[0;32m   1194\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\anaconda3\\lib\\site-packages\\IPython\\core\\ultratb.py\u001b[0m in \u001b[0;36mformat_exception_as_a_whole\u001b[1;34m(self, etype, evalue, etb, number_of_lines_of_context, tb_offset)\u001b[0m\n\u001b[0;32m   1148\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1149\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1150\u001b[1;33m         \u001b[0mlast_unique\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mrecursion_repeat\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mfind_recursion\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0morig_etype\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mevalue\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mrecords\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   1151\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1152\u001b[0m         \u001b[0mframes\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mformat_records\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mrecords\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mlast_unique\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mrecursion_repeat\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\anaconda3\\lib\\site-packages\\IPython\\core\\ultratb.py\u001b[0m in \u001b[0;36mfind_recursion\u001b[1;34m(etype, value, records)\u001b[0m\n\u001b[0;32m    449\u001b[0m     \u001b[1;31m# first frame (from in to out) that looks different.\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    450\u001b[0m     \u001b[1;32mif\u001b[0m \u001b[1;32mnot\u001b[0m \u001b[0mis_recursion_error\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0metype\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mvalue\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mrecords\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--> 451\u001b[1;33m         \u001b[1;32mreturn\u001b[0m \u001b[0mlen\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mrecords\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;36m0\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    452\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    453\u001b[0m     \u001b[1;31m# Select filename, lineno, func_name to track frames with\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mTypeError\u001b[0m: object of type 'NoneType' has no len()"
     ]
    }
   ],
   "source": [
    "a=['a']\n",
    "for i in a:\n",
    "    a.append(i.upper())\n",
    "    \n",
    "print(a)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "IOPub data rate exceeded.\n",
      "The notebook server will temporarily stop sending output\n",
      "to the client in order to avoid crashing it.\n",
      "To change this limit, set the config variable\n",
      "`--NotebookApp.iopub_data_rate_limit`.\n",
      "\n",
      "Current values:\n",
      "NotebookApp.iopub_data_rate_limit=1000000.0 (bytes/sec)\n",
      "NotebookApp.rate_limit_window=3.0 (secs)\n",
      "\n"
     ]
    }
   ],
   "source": [
    "print(a)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "li = [1,2,3,4]\n",
    "\n",
    "empty = [5, 55, [1, 2, 3], '53', 'gdf', 'dgd', '343', '5']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[5, 55, [1, 2, 3], '53', 'gdf', 'dgd', '343', '5', 1, 2, 3, 4]\n"
     ]
    }
   ],
   "source": [
    "empty.extend(li)\n",
    "\n",
    "print(empty)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[5, 55, [1, 2, 3], '53', 'gdf', 'dgd', '343', '5', 1, 2, 3, 4, 1, 2, 3, 4]\n"
     ]
    }
   ],
   "source": [
    "print(empty + li)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[5, 55, [1, 2, 3], '53', 'gdf', 'dgd', '343', '5', 1, 2, 3, 4, 1, 2, 3, 4]\n"
     ]
    }
   ],
   "source": [
    "emp2 = empty + li\n",
    "\n",
    "print(emp2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[1, 2, 3]\n"
     ]
    }
   ],
   "source": [
    "print(emp2[2])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[5, 55, [1, 2, 3, 4], '53', 'gdf', 'dgd', '343', '5', 1, 2, 3, 4, 1, 2, 3, 4]\n"
     ]
    }
   ],
   "source": [
    "emp2[2] = li\n",
    "\n",
    "print(emp2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[5, 55, 1, 2, 3, 4, 'gdf', 'dgd', '343', '5', 1, 2, 3, 4, 1, 2, 3, 4]\n"
     ]
    }
   ],
   "source": [
    "emp2[2:4] = li\n",
    "\n",
    "print(emp2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[5, 10, 55, 1, 2, 3, 4, 'gdf', 'dgd', '343', '5', 1, 2, 3, 4, 1, 2, 3, 4]\n"
     ]
    }
   ],
   "source": [
    "emp2.insert(1, 10)\n",
    "\n",
    "print(emp2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[5, 10, 55, 1, 2, 3, 4, 'gdf', 'dgd', '343', '5', 1, 2, 3, 4, 1, 2, 3]\n"
     ]
    }
   ],
   "source": [
    "emp2.pop()\n",
    "\n",
    "print(emp2) # LIFO -> Last In First Out"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[5, 10, 1, 2, 3, 4, 'gdf', 'dgd', '343', '5', 1, 2, 3, 4, 1, 2, 3]\n"
     ]
    }
   ],
   "source": [
    "emp2.pop(2)\n",
    "\n",
    "print(emp2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "ename": "IndexError",
     "evalue": "pop index out of range",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mIndexError\u001b[0m                                Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-14-bfab930aa297>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0memp2\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mpop\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;36m100\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[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      3\u001b[0m \u001b[0mprint\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0memp2\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mIndexError\u001b[0m: pop index out of range"
     ]
    }
   ],
   "source": [
    "emp2.pop(100)\n",
    "\n",
    "print(emp2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "emp2.remove('gdf')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[5, 10, 1, 2, 3, 4, 'dgd', '343', '5', 1, 2, 3, 4, 1, 2, 3]\n"
     ]
    }
   ],
   "source": [
    "print(emp2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "ename": "ValueError",
     "evalue": "list.remove(x): x not in list",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mValueError\u001b[0m                                Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-18-d29e36b460c0>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mprint\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0memp2\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mremove\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'gdf'\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: list.remove(x): x not in list"
     ]
    }
   ],
   "source": [
    "print(emp2.remove('gdf'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2\n",
      "[5, 10, 1, 2, 3, 4, 'dgd', '343', '5', 1, 2, 3, 4, 1]\n"
     ]
    }
   ],
   "source": [
    "print(emp2.pop())\n",
    "\n",
    "\n",
    "print(emp2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[5, 10, 1, 2, 3, 4, 'dgd', '343', '5', 1, 2, 3, 4, 1] [5, 10, 1, 2, 3, 4, 'dgd', '343', '5', 1, 2, 3, 4, 1]\n"
     ]
    }
   ],
   "source": [
    "emp3 = emp2\n",
    "\n",
    "print(emp3, emp2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1944735317312 1944735317312\n"
     ]
    }
   ],
   "source": [
    "print(id(emp2), id(emp3))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1\n",
      "[5, 10, 1, 2, 3, 4, 'dgd', '343', '5', 1, 2, 3, 4] [5, 10, 1, 2, 3, 4, 'dgd', '343', '5', 1, 2, 3, 4]\n"
     ]
    }
   ],
   "source": [
    "print(emp3.pop())\n",
    "\n",
    "print(emp2, emp3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1944735317312 1944736306368\n",
      "[5, 10, 1, 2, 3, 4, 'dgd', '343', '5', 1, 2, 3, 4] [5, 10, 1, 2, 3, 4, 'dgd', '343', '5', 1, 2, 3, 4]\n"
     ]
    }
   ],
   "source": [
    "emp3 = emp2.copy()\n",
    "\n",
    "\n",
    "print(id(emp2), id(emp3))\n",
    "print(emp2, emp3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "4\n",
      "[5, 10, 1, 2, 3, 4, 'dgd', '343', '5', 1, 2, 3, 4] [5, 10, 1, 2, 3, 4, 'dgd', '343', '5', 1, 2, 3]\n"
     ]
    }
   ],
   "source": [
    "print(emp3.pop())\n",
    "\n",
    "print(emp2, emp3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2\n"
     ]
    }
   ],
   "source": [
    "print(emp2.count(1))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "6\n"
     ]
    }
   ],
   "source": [
    "print(emp2.index('dgd'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "ename": "ValueError",
     "evalue": "'dgda' is not in list",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mValueError\u001b[0m                                Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-28-072296294b17>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mprint\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0memp2\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mindex\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'dgda'\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: 'dgda' is not in list"
     ]
    }
   ],
   "source": [
    "print(emp2.index('dgda'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[4, 3, 2, 1, '5', '343', 'dgd', 4, 3, 2, 1, 10, 5]\n"
     ]
    }
   ],
   "source": [
    "emp2.reverse()\n",
    "\n",
    "print(emp2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "ename": "TypeError",
     "evalue": "'<' not supported between instances of 'str' and 'int'",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-30-d9096d7c8955>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0memp3\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0msort\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[0;32m      2\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      3\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      4\u001b[0m \u001b[0mprint\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0memp3\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mTypeError\u001b[0m: '<' not supported between instances of 'str' and 'int'"
     ]
    }
   ],
   "source": [
    "emp3.sort()\n",
    "\n",
    "\n",
    "print(emp3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[3, 4, 5, 6, 9, 22, 66, 77, 345]\n"
     ]
    }
   ],
   "source": [
    "li = [5,3,6,22,77,4,66,9,345]\n",
    "li.sort()\n",
    "\n",
    "print(li)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[345, 77, 66, 22, 9, 6, 5, 4, 3]\n"
     ]
    }
   ],
   "source": [
    "li = [5,3,6,22,77,4,66,9,345]\n",
    "li.sort(reverse=True)\n",
    "\n",
    "print(li)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[1, 2, 3], [4, 5, 6], [6, 7, 8]]\n"
     ]
    }
   ],
   "source": [
    "matrix = [[1,20,3],[4,5,6], [6,75,8]]\n",
    "\n",
    "print(matrix)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[6, 75, 8], [35, 5, 6], [40, 20, 3]]\n"
     ]
    }
   ],
   "source": [
    "matrix = [[40,20,3],[35,5,6],[6,75,8]]\n",
    "\n",
    "\n",
    "matrix.sort()\n",
    "\n",
    "\n",
    "print(matrix)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[35, 5, 6], [40, 20, 3], [6, 75, 8]]\n"
     ]
    }
   ],
   "source": [
    "matrix = [[40,20,3],[35,5,6], [6,75,8]]\n",
    "\n",
    "\n",
    "matrix.sort(key = lambda x :x[1])\n",
    "\n",
    "\n",
    "print(matrix)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[6, 75, 8], [35, 5, 6], [40, 20, 3]]\n",
      "[[35, 5, 6], [40, 20, 3], [6, 75, 8]]\n"
     ]
    }
   ],
   "source": [
    "print(sorted(matrix))\n",
    "\n",
    "\n",
    "print(matrix)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[6, 75, 8], [40, 20, 3], [35, 5, 6]]\n"
     ]
    }
   ],
   "source": [
    "print(list(reversed(matrix)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[]\n"
     ]
    }
   ],
   "source": [
    "emp3.clear()\n",
    "\n",
    "\n",
    "print(emp3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'emp3' 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-42-70167493e5a1>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[0;32m      1\u001b[0m \u001b[1;32mdel\u001b[0m \u001b[0memp3\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[0mprint\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0memp3\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[1;31mNameError\u001b[0m: name 'emp3' is not defined"
     ]
    }
   ],
   "source": [
    "del emp3\n",
    "\n",
    "print(emp3)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Tuples\n",
    "\n",
    "\n",
    "Storing the Group of non-homogenous group of data\n",
    "\n",
    "- Is is created using `()`\n",
    "- It is immutable \n",
    "- it is iterable\n",
    "- it is ordered"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [],
   "source": [
    "t1 = ()\n",
    "t2 = tuple()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [],
   "source": [
    "t1 = (1,2,3,4, 'Python', (1,2,3), [1,2,3])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1 [1, 2, 3] 3 (1, 2, 3)\n"
     ]
    }
   ],
   "source": [
    "print(t1[0], t1[-1], t1[2], t1[-2])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(1, 2)\n"
     ]
    }
   ],
   "source": [
    "print(t1[0:2])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "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-48-f8552766aa0a>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mt1\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;36m0\u001b[0m\u001b[1;33m]\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;36m55\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": [
    "t1[0] = 55"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [],
   "source": [
    "t1 = (1,2,3,4, 'Python', (1,2,3), [1,2,3])\n",
    "\n",
    "t1[-1].append(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1, 2, 3, 4, 'Python', (1, 2, 3), [1, 2, 3, 5])"
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "t1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1\n",
      "2\n",
      "3\n",
      "4\n",
      "Python\n",
      "(1, 2, 3)\n",
      "[1, 2, 3]\n"
     ]
    }
   ],
   "source": [
    "for ele in t1:\n",
    "    print(ele)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "7\n"
     ]
    }
   ],
   "source": [
    "print(len(t1))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Tuple Methods"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1\n"
     ]
    }
   ],
   "source": [
    "print(t1.count(1))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "4\n"
     ]
    }
   ],
   "source": [
    "\n",
    "print(t1.index('Python'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "yo\n",
      "yyyyy\n"
     ]
    }
   ],
   "source": [
    "print('y' + 'o')\n",
    "\n",
    "print('y' * 5)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Tasks\n",
    "\n",
    "s = 'Python is an interpreted high-level general-purpose programming language. Python's design philosophy emphasizes code readability with its notable use of significant indentation. Wikipedia\n",
    "Developer: Python Software Foundation\n",
    "Stable release: 3.9.5 / 3 May 2021; 19 days ago\n",
    "Preview release: 3.10.0b1 / 3 May 2021; 19 days ago\n",
    "Typing discipline: Duck, dynamic, strong typing; gradual (since 3.5, but ignored in CPython)\n",
    "First appeared: February 1991; 30 years ago\n",
    "Paradigm: Multi-paradigm: object-oriented, procedural (imperative), functional, structured, reflective'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [],
   "source": [
    "s = '''Python is an interpreted high-level general-purpose programming language. Python's design philosophy emphasizes code readability with its notable use of significant indentation. Wikipedia\n",
    "Developer: Python Software Foundation\n",
    "Stable release: 3.9.5 / 3 May 2021; 19 days ago\n",
    "Preview release: 3.10.0b1 / 3 May 2021; 19 days ago\n",
    "Typing discipline: Duck, dynamic, strong typing; gradual (since 3.5, but ignored in CPython)\n",
    "First appeared: February 1991; 30 years ago\n",
    "Paradigm: Multi-paradigm: object-oriented, procedural (imperative), functional, structured, reflective'''"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['Python', 'is', 'an', 'interpreted', 'high-level', 'general-purpose', 'programming', 'language.', \"Python's\", 'design', 'philosophy', 'emphasizes', 'code', 'readability', 'with', 'its', 'notable', 'use', 'of', 'significant', 'indentation.', 'Wikipedia', 'Developer:', 'Python', 'Software', 'Foundation', 'Stable', 'release:', '3.9.5', '/', '3', 'May', '2021;', '19', 'days', 'ago', 'Preview', 'release:', '3.10.0b1', '/', '3', 'May', '2021;', '19', 'days', 'ago', 'Typing', 'discipline:', 'Duck,', 'dynamic,', 'strong', 'typing;', 'gradual', '(since', '3.5,', 'but', 'ignored', 'in', 'CPython)', 'First', 'appeared:', 'February', '1991;', '30', 'years', 'ago', 'Paradigm:', 'Multi-paradigm:', 'object-oriented,', 'procedural', '(imperative),', 'functional,', 'structured,', 'reflective']\n"
     ]
    }
   ],
   "source": [
    "print(s.split())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Tasks\n",
    "\n",
    "1. Reverse every element in list and update them in another list\n",
    "- extract lower-case alpha from each element and update in another list\n",
    "- remove special characters from the element and update in another list\n",
    "- get the middle character of every element and update in another list"
   ]
  }
 ],
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