jupiter_study/python notebooks/Untitled2.ipynb

list assignment python.ipynb

{
  "cells": [
    {
      "metadata": {},
      "cell_type": "raw",
      "source": "2) Access value 20 from the following tuple\n       aTuple = (\"Orange\", [10, 20, 30], (5, 15, 25))\n"
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "aTuple=(\"orange\",[10,20,30],(5,15,25))\nprint(aTuple[1][1])\n",
      "execution_count": 1,
      "outputs": [
        {
          "output_type": "stream",
          "text": "20\n",
          "name": "stdout"
        }
      ]
    },
    {
      "metadata": {},
      "cell_type": "raw",
      "source": "3) Unpack the following tuple into 4 variables\naTuple = (10, 20, 30, 40)\n"
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "aTuple=(10,20,30,40)\na,b,c,d=aTuple\nprint(a)\nprint(b)\nprint(c)\nprint(d)\n",
      "execution_count": 2,
      "outputs": [
        {
          "output_type": "stream",
          "text": "10\n20\n30\n40\n",
          "name": "stdout"
        }
      ]
    },
    {
      "metadata": {},
      "cell_type": "raw",
      "source": "4) Copy element 44 and 55 from the following tuple into a new tuple\n       tuple1 = (11, 22, 33, 44, 55, 66)\n"
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "tuple1=(11,22,33,44,55,66)\ntuple2=tuple1[3:-1]\nprint(tuple2)\n",
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "stream",
          "text": "(44, 55)\n",
          "name": "stdout"
        }
      ]
    },
    {
      "metadata": {},
      "cell_type": "raw",
      "source": "5) Counts the number of occurrences of item 50 from a tuple\n              tuple1 = (50, 10, 60, 70, 50)\n"
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "tuple1=(50,10,60,70,50)\nprint(tuple1.count(50))\n",
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "stream",
          "text": "2\n",
          "name": "stdout"
        }
      ]
    },
    {
      "metadata": {},
      "cell_type": "raw",
      "source": "6) Modify the first item (22) of a list inside a following tuple to 222\n        tuple1 = (11, [22, 33], 44, 55)\n"
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "tuple1=(11,[22,33],44,55)\ntuple1[1][0]=222\nprint(tuple1)\n",
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "stream",
          "text": "(11, [222, 33], 44, 55)\n",
          "name": "stdout"
        }
      ]
    },
    {
      "metadata": {},
      "cell_type": "raw",
      "source": "7) Swap the following two tuples\n         tuple1 = (11, 22)\ntuple2 = (99, 88)\n"
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "tuple1=(11,22)\ntuple2=(99,88)\ntuple1,tuple2=tuple2,tuple1\nprint(tuple1)\nprint(tuple2)\n",
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "stream",
          "text": "(99, 88)\n(11, 22)\n",
          "name": "stdout"
        }
      ]
    },
    {
      "metadata": {},
      "cell_type": "raw",
      "source": "8) Reverse the following tuple\naTuple = (10, 20, 30, 40, 50)\n"
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "aTuple=(10,20,30,40,50)\nprint(aTuple[::-1])\n",
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "stream",
          "text": "(50, 40, 30, 20, 10)\n",
          "name": "stdout"
        }
      ]
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "",
      "execution_count": null,
      "outputs": []
    }
  ],
  "metadata": {
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3",
      "language": "python"
    },
    "language_info": {
      "name": "python",
      "version": "3.8.5",
      "mimetype": "text/x-python",
      "codemirror_mode": {
        "name": "ipython",
        "version": 3
      },
      "pygments_lexer": "ipython3",
      "nbconvert_exporter": "python",
      "file_extension": ".py"
    },
    "gist": {
      "id": "",
      "data": {
        "description": "jupiter_study/python notebooks/Untitled2.ipynb",
        "public": true
      }
    }
  },
  "nbformat": 4,
  "nbformat_minor": 4
}