assignment1.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Task 1:\n",
    "\n",
    "1.\n",
    "Install Jupyter notebook and run the first program and share the screenshot of the output."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Python programming\n"
     ]
    }
   ],
   "source": [
    "print(\"Python programming\")"
   ]
  },
  {
   "attachments": {
    "op1.PNG": {
     "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXsAAABICAYAAAAXp1W8AAAAAXNSR0IArs4c6QAAAARnQU1BAACxjwv8YQUAAAAJcEhZcwAADsMAAA7DAcdvqGQAAAlmSURBVHhe7Zy7btxGGEb3VfQGeYM8ggABaeMXSJ0yEGy3QcqUUQBLTYoUAYIg1bqw5c5O1AkBLMCFgSCCSpUT/nMh/xkOL3uhltw5B/gAkcO5cbVnZrmyV6ZQbm5uzMPDg3l8fCSEkKNPsbJ///599oYQQsgxBtkTQkgBQfaEEFJAkD0hhBQQZE8IIQUE2RNCSAFB9oQQUkCQPSGEFJAnl/1fP/5kvvjS59tr858/P4b/fv9l67opk8r+44U5PV+Z1cU6X76PvD43q7MLc6fOfb56Zv48eW5uq59vX5yYP79+ZT6r8sny5vnT9UWafHxl1ifV6/ziOl++beT1PHlmPnyMf6dC+d3Pp+b057u4Dpl9Etnfm1+/VTL2+eb3e1++OyL7fHtp37+YX//1RSl//3G8sn9XSfyHWOKt/FO1vzo1F//E5/tkb49FDHXiN/BwPpkPX5+Yd28yZcj+MDmQ7B8f1+Z8tTLnr/U5Mvd07OydePcp+UC37BNE6F/+Yf7yhxFzl/0uGZT9nbk4W+V3Vkq69k2qJGBlr47zb+K+IPtiYhcR/7vR9draDce5WafnyWyzoexvzfci4H+vzTdhB76hdEfL3vaxuezdY6KOeopO2Ytsqx353W+nZiW78yqnvymxBhmH3Xuyg19f+HNpvVC3q23dXpTkDZV5fDMmqewfH6/Nu2pXaOVtd3KJ+NW59qcCl/XVp+baSgi3dgFJynziNtyu0ZXJOKp+wi5VssHCIYuW9KXb1wuSnJdyt7i1y/X5tCzU1+WSMLehtsM9ruvW918WzuoeXMk9dudDP/Xr8eKVXVztvXrj7426L3pc6b129a+jcaXX9M1rbNbfdWw6yCyzhey1TN3x93/bg1GMlb19Pv/jrT9KmFr2ItkgcCvhU3MR5BTKg4TTch+Rflb2um17nMhczvXs7Ld9g9k3d5fso5+7rh/Y2YswwvVqoZBjKx0lKiehUB6EGB9n+8kkCK0WVdJ3LTU/tmgsybXuWC1EUbmbv74nvW3bctV2NC/fllzrF7l60ZC2bL/uWteHtCP19SLpIuVZ2atx5efZPa/R2XLjQQ6TLWQfP0sfvVP39F8fFhPJgZ7Zt2R7Zy5+WJnzd6o8kntS7tMp+6jttTlPF4pe2btHONs8K03lbY9TAdflObEMyF61FdfPyVu31e4rK7COxOOWxO2l82weUbgxpP3ovtN71pZ5V9v+OEnTtpq/qhPJ3rfb1Mm9JvF46/S+HsPzGh0e5SwqM5O9pudTwwFkX4u7V8ZNppH99l+M2Te47PZC0je3FpXIIhKoZBfZp5KaWvbNOLvbys9HX2/bTnbAuq3Bccp90fe8irv+sLIfmtf4yO9j9fub/KEAmWdmLPueaw+9sz+Y7Pe3s2+nEZBcm0qwS442g7JP6+lzbYkNSlQlL/umve62cpJLzqWyThbI3nFaicfzbq5X9/IAsh+a1+iws19U5it7+wVtx6OcqZ/ZK9m6L1PVL/TUsu/4DiBkf8/sM7GSeGbWHW/+zjYG5GLrqXIrtfp4v7JP++prK97hVrESjHe82cXNp3ecVuJtwbrrDyn74XmNDs/sF5VE9k7yzd+6uzRynlL27rFN02+H6IWn+IK2ziZfoIq8dV2X7kdAGdlX0X+tk/1rnC12U1aCQ7K3UugRmC8PO8L6ugHZS2z/dV0l2I5ru8cQxwlbtR2NY7ituH4iUy/oKCMXEkk056reh/r6XWUfvw4h9ViGXo+BeY0Nf42zrHTs7Kdj08Uhy5M+xplb3KOcad5kbfHOPbUgM2W7JbcDduf6BD//7GlePMJZXJB9mtnLvkrHv6DdNXYnOok4p8t0sne750iKmefwy8s+5iVfzG733RE5XA4i+/pRzYbCfpL/G2cJspfs8Xlp/bhhi4/yh850sq+SedyxbNH77Dgv/m+cZebJZT8XOmVPCCFHGGRPCCEFBNkTQkgBQfaEEFJAkD0hhBSQYmV/c3NjHh4esjeFEEKOLcXK/v7+3gpfdviEEHLsKVb2AAAlgewBAAoA2QMAFACyBwAoAGQPAFAAyB4AoACQPQBAASB7AIACQPYAAAWA7AEACgDZPymfzeVXK/Py2h/Ck/H56sysVtx7KBdk3+KteVlJQcRQ5/lbXzaST5fmbPWyaikF2R8KZA+lg+xbONk3UnCC3kj4yB4AZgayb5HKvuL6ZbUrdPK2O8SvLittNzTnMp8KbM7M5Sd7pZe9vi5ZFOxCoerqRUbGUR2HXark7EqPpA/pW8bR0Xe9QKnyZJ5vn4d6kjCnQG7u6bx1G0l9e4+buvX9t3O+dAuu1Ln298ePTe7F2dWl77saf2invm96XOmYQ/3qlVNzixfjvnkBLAdk38K9ubtk76So3+xOZJF0B3b2qQSbumnf7rguT0WmxzVI2nfVuggutFUvMqE8Hku6yLkFp+k711Yzj9B3M5foeumr/rlCz8vPWdpyQpbzMjY3TjcO+dn3IWPM3v+mjsbVb8aVzrN/XgDLAdm3iCUXjrXMRQD1cU4sWdkITkhaFlYuXiapaCwiu3BO/2zJCyxPu++ovYzImnmm90TQ7aXlrqy5Z17EqdDTudaoeanr4vEo2dt21Xg2lb0eV1R3aF4AywHZt3BvcPdx3aX15lYCElm0yneRvRaPoKXYEmReYHnafdv2wjg7xyzk+tHtuZ/rsdu29PWZvhPcrl3H1z+o7IfmBbAckH0LJ/s+MTXiEBlk3vyd4mxLryX7SObJuSlkH9rrHLOQuyfxuVTW8QKY6Vth5xj1reZ1UNkPzQtgOSD7FjmxtXESrnb1WhQ1XW30y96JRpcn7exV9q7tWl69sq+uFumpvt38xywUwgjZq7adYGcg+8F5ASwHZN8iEWwXVgQ914mkqnKXIJkB2Qu+3exOcg+yb8aUtD1CbPEuN7423QFLmvb7ZR/ueVNP/rpmT7KPXoeQ5p71yr6if14AywHZb8sIOc6LIeHuQO5e2HNjF6KZcqzzgiJB9lvhxLmsHd6Esre751iKdse8qMUww7HOC4oE2W+EE6b9OK8/+i+CCWVf0X7ccRxCPNZ5QXkgewCAAkD2AAAFgOwBAAoA2QMAFACyBwAoAGQPAFAAyB4AoACQPQBAASB7AIACQPYAAAWA7AEACgDZAwAUALIHACgAZA8AUADIHgCgAJA9AEABIHsAgAJA9gAABYDsAQAKANkDABw9xvwP9vFoat6eFsMAAAAASUVORK5CYII="
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![op1.PNG](attachment:op1.PNG)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "2. Write a program which will find all such numbers which are divisible by 7 but are not a multiple\n",
    "of 5, between 2000 and 3200 (both included). The numbers obtained should be printed in a\n",
    "comma-separated sequence on a single line. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[2002, 2009, 2016, 2023, 2037, 2044, 2051, 2058, 2072, 2079, 2086, 2093, 2107, 2114, 2121, 2128, 2142, 2149, 2156, 2163, 2177, 2184, 2191, 2198, 2212, 2219, 2226, 2233, 2247, 2254, 2261, 2268, 2282, 2289, 2296, 2303, 2317, 2324, 2331, 2338, 2352, 2359, 2366, 2373, 2387, 2394, 2401, 2408, 2422, 2429, 2436, 2443, 2457, 2464, 2471, 2478, 2492, 2499, 2506, 2513, 2527, 2534, 2541, 2548, 2562, 2569, 2576, 2583, 2597, 2604, 2611, 2618, 2632, 2639, 2646, 2653, 2667, 2674, 2681, 2688, 2702, 2709, 2716, 2723, 2737, 2744, 2751, 2758, 2772, 2779, 2786, 2793, 2807, 2814, 2821, 2828, 2842, 2849, 2856, 2863, 2877, 2884, 2891, 2898, 2912, 2919, 2926, 2933, 2947, 2954, 2961, 2968, 2982, 2989, 2996, 3003, 3017, 3024, 3031, 3038, 3052, 3059, 3066, 3073, 3087, 3094, 3101, 3108, 3122, 3129, 3136, 3143, 3157, 3164, 3171, 3178, 3192, 3199]\n"
     ]
    }
   ],
   "source": [
    "m=[]\n",
    "for i in range(2000,3201):\n",
    "    if i%7==0 and i%5!=0:\n",
    "        m.append(i)\n",
    "print(m)\n"
   ]
  },
  {
   "attachments": {
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    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![op2.PNG](attachment:op2.PNG)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "3. Write a Python program to accept the user's first and last name and then getting them printed in\n",
    "the the reverse order with a space between first name and last name."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Enter first name:Anjaly\n",
      "Enter last name:Ezhava\n",
      "ylajnA avahzE\n"
     ]
    }
   ],
   "source": [
    "firstname=input(\"Enter first name:\")\n",
    "lastname=input(\"Enter last name:\")\n",
    "print(firstname[::-1], lastname[::-1])\n"
   ]
  },
  {
   "attachments": {
    "op3.PNG": {
     "image/png": 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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![op3.PNG](attachment:op3.PNG)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "4. Write a Python program to find the volume of a sphere with diameter 12 cm.\n",
    "Formula: V=4/3 * π * r 3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "904.3199999999998\n"
     ]
    }
   ],
   "source": [
    "d=12\n",
    "r=d/2\n",
    "V=(4/3)*3.14*r*r*r\n",
    "print(V)"
   ]
  },
  {
   "attachments": {
    "op4.PNG": {
     "image/png": "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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![op4.PNG](attachment:op4.PNG)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Task 2:"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "1. Write a program which accepts a sequence of comma-separated numbers from console and\n",
    "generate a list."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Enter numbers including comma:1,3,5,76,34,55,78\n",
      "['1', '3', '5', '76', '34', '55', '78']\n"
     ]
    }
   ],
   "source": [
    "number=input(\"Enter numbers including comma:\")\n",
    "withoutcomma=number.split(\",\")\n",
    "l=list(withoutcomma)\n",
    "print(l)"
   ]
  },
  {
   "attachments": {
    "op5.PNG": {
     "image/png": 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MsUQdRPzcpEO9JvossqrvAAAgAJMW6nIlTbxxhhAfZT8tzacZl83GqjOZhN9+/+lhODjIkMhwtHGcxqR1nY5n0nSsXV9HUS/HMU2az3PlSyp1aZk7AAAQMGmhLlfSCoqhjXrdStqbxOGl209m40zn8DIZtzzuNCatz5PbyjovMel6fR1UL33euG2rSfs2yHqu6jsAAAjApIW6XUkL+MtiyqStbYm6GbBJP7tzuDqRKdGK2jC+lulRDHNf06TDeWI/lzF+9mYX68z7lPnpYzLCatY2QH9eiuX7x38+jkmP5YZ62H0nYhX7AADAA5MWqpo0r7Rcss2Ym2BdMo6PqgWjWctH2SMudjDr8hvcpYmyuTwVx1jf7s4MU2wf2+ENKh0XPut2F4bjjSnuH81vwqQJNurxXNUu2eeuzGSElWP0eESDjBR1EfvGNm016dinMXb4Jrhl0kX/AABACUxaaHolfal4U7JXluDhETcD5n4AAPDApIX2a9IOXnVaq3Dw0PATBGt1DQAACpi00K5N2pEe29r7wQNAj9HxmBsAMBOYtNDeTRoAAMBlAZMWgkkDAADoCZi0EEwaAABAT8CkhWDSAAAAegImLXRSkw7v4Na/YT4q/zwMNy/zLyXJ3yIXvzOm/W9uhsM/820AAAD6ACYt1K1J0wtPqm8UC7x38b+6He7eG/sc5stAiInzAAAAnA+YtFC3j7snTfrdcPfSmfB3hgkHqiZNGCtwAAAA5wcmLVQ1aTJJtwKWr+jM3sEdTTSultWKmf9TDOu8eG4ttoyXoV5KMsNkmyYdTB6PvQEAoC9g0kJNkyZzjMbL5nmb/jOMuD+ap94fMP+DDR2bPysTpm2NlTT9Xbm1iibaJv3L8O47d5Pw5oR/LwcAALAYmLRQ06Qzk3Qrz6du5flG7M9MWe0PVE06i31f/m9YTZOetwqeMmk88gYAgP6ASQstNenRcJsmmjiNSbvjvzqCSfMXyPBubwAA6AmYtNCmlfTZTBoraQAA2CswaaG5Ju2/5CVWnac26crfuCP4mzQAAOwTmLTQ5BfHRpZ8sYtMV57rqT8qN0zaIb/9bX6723xU7WKFF5lISrOetxoHAADwsMCkheY/7u4Nb7JTq+kqeNQNAABdApMWulyTdqx9cxjeOAYAAN0Ckxa6aJMmVqyI8e5uAADoF5i0UNWkAQAAgDMAkxaCSQMAAOgJmLQQTBoAAEBPwKSFYNIAAAB6AiYtBJMGAADQEzBpobdv3w4fP340OwoAAAB4aGDSQh8+fGCjphU1AAAAcG5g0hAEQRDUqWDSEARBENSpYNIQBEEQ1Klg0hAEQRDUqWDSEARBENSpYNIQBEEQ1Klg0hAEQRDUqWDSEARBENSpYNIQBEEQ1Klg0hAEQRDUqWDS0Gq9f/FouHn8KnzqUD8/Hx7d3By9jtxuinuM2K+fDDe/eT68Dx+9Xg1PKHaxHYKgaxNMeqZePQ5JWfDoxYIUyobxxKXf/ehaTTrqKO2HSR9JK/uM+j9cz8zC8SzzwqPh+c9hZ1Pvh+e/0eca58c5bO1raW67Yvwl/ZbVqYyf3cQGnrwOOydk5dn8/DDOI/vKqZZg0jNFk2eRKWvBpHen05k0tEhsSE+G5zQem/rSG+eS65zywlwDmlRoxzij+PMCY66q1i6//cnjhXOQclnjeLouNuVKKc6bsQ9CfUV/s6nvPAfBpGeqbdJ0d+cuLnmHOU5ifecXkRefuqvOJl2amOkuc/6FGy+YdK6c5OWkT8ZD+1w5LyhR+DrFGPH4eKwdm7SxXWo1sDR5Vs+juK4uXP9qbDVuRlJKfSVEsbNjKU7eLlmujp3t07Gb88xLtjuypN903Yq5Ye7z9WKTdNsfvXgVxt23m8579OJ56E9X/ziusn1qrPN55OXbpm90XdmhD7h+xjgtEZWxdJ5ZdV2jvOxw/c28zqdktWvsr2LOTugBTZrrOM6TyrVUXCf7Ekx6ptoXL00emUD85+zi5cSqE4wXxU4TzZtXfrH6xBW35ce3xZNYnDtemP7TaJRRadKHcunYYAoUQ14UOrZPtKmN29pVXpBrZI6bNglVb1+2cZ6S7ItRRcJT7dBlFcd7mbFDvarzLIsd+reIUZcfT9kPQla9x3aFelFZvN3XKfa9j0vH6jkl2iHrqcsK4vlRq58Tl2P05XypsZohqtNRTFrnh/A53vgwq9tmtIvjh23U30ti07mN42kcpq6deSrrnc0BbsOR+r9jwaRnyk+OnDQ57MmUTVR9EY6ic9X27KIxku2Ci6pI9lk9fGw5ydPxYp84R8YrYnNbYryt7fKxtl7sxTiQiv7Lx4/bNaN/y/Y7NWOX/V0bSzO2qidJto/nqDhnbju8fH9ndRvl6637MZUt6iXaE/entthzqlTZzjla1t4kPi9c02Wft8V9Hs91FHNtpuQ4sqgfs3jG9TKhVruy8ipzsKpgjmNsNY5ZucTCPo1K80Yp9M2SJ4qXLJj0TBUXUaZ28mTVklIx4QPjRWMk9gUqJnpWjzJ2Ot5OqDJeeRHpcza2K4tRS+htmeNWJKV8/OgcMzkomUmkGdtocyVBmrFVPUmyfXyOGtv6nFXivq4lPXusUtmiXqI9cX9qi54faUy5z+U8qdalLi7H6Msl2haD+mFBn0dZfW/Ni8pcmaOsXTrOhrikfN5p+TGfcz3l8n1pzbmsHWv6+8IEk54pmQxLtZMnSyWlUbXto+wEOVcpQQZl5ZWx0/F2QpXxitiyH47crnYiqMsctyIp5eNXtsuWeVwzttHmSoK06zAxz0LSGlmUeMvYSb7eeT/KbeJc0Z5Yt9SWxpzKxrZVl7o4zqI2G5qct22184QtOqcYa6selbkySyIelyfniWDu9Zhpos/sudyWOZZcjpoXPOfXj9clCCY9U+2LbyJ5sugY6yLwias+iY3EvkDFBZJdUCr5xiQ/lVBDPB07v7CO3K6VF6M5bkWyU+PH7Z2uW9G3pKyeoQ9E7Cwhh3KsxGvG1vV0Su1b2J+GuG4VE+D6yP7P2inqJfo21i21pTGnRLlcD9VOkt9enwM6Tiaur+j7irgMfUxjnDJxGbV6V8aGY5fnxL5Kc1d/9mrGFjLbFSXGTGpe7DDHa7Fr11JzPCq50ojFdZwalwsXTHqm4oSVpAumlTyF4sRk5PFhopuxRWJboSLZi+TIigmIcJP91ZyEGuLxv0Wdy4tlQ7uyviKsRFaTv8jz80XZRVIqxy/rF2I8vmwTI/pYzpUnr3VsWTfXp1TO7NgT86zoM0cxJm3peS7HJx9v3abwWfRtrFuaM/ac8uenMv03wdV4OPm6aZOu9FnR7lCG2l7MYTGOSbEMXXZe7+oNRBiXNPejQlyzTJLuF2MkK7HntSuouB6CZsbO9+vxKMfRyx4PEo+zVR9SqNNI7bgdCSYNQbuQMMBRfpuZ3K9OU4bYVtM4phRu+Ko3pFt0qbE3jsc1CSYNQbuQX5lkCfWkSfZyNK781hhCXLmtMui0qjz+GFxq7I3jcYWCSUPQXqQfBZ4oyUIQ9HCCSUMQBEFQp4JJQxAEQVCngklDEARBUKeCSUMQBEFQp4JJL1D2G1Lz257+G7brfvJy2p8k+G9UVn7HOSX+QlLt945btdM+m9Clxj7pXOh2nk3pPLHHb0kTV/B74WsVTHqB4ssZ6mpfrPGisr9xex7DyW48anU7S/L022XdykR0hj4LP2vK6mXUbSqB1sbjGNo01qT4LXGrX89h0lafi7plfR0o2/bwRqr726rb9JjMqDf1G0x6t4JJL9Bcky4vNG8m8f/UtZNjPOY0lxonsqkLmZOhkSQ5eZ5oZVbtM9o+VWYHfebEiVaYBn+eOG9u7DXaNNbc74+GJ49djKpJn2gu1GJTXRvtofZOz4HaPDuGZsZWfc7jJPvYbP+M2DDpXQsmvUDTJm2LLkZ/kZ0yURxDPkGfZJW0WFSXU90YHFOqzyYMpR/ZYx1vOAoDOaeOYtLnl+7TIp+wia+Y8zDpXQsmvUBrTTqpc5Pu6mK/DJPWidd/fu4fw7uxJro0EGusxUoOJn1sGTdF3N8xH2z40w1MeteCSS/QPk06JIdgKP3UzfdVrNfp/ia+RWXi5ZWoXll306+tsfb74rbuTHqcB0R+88Z1lft7qbdQvT/TPF+dW2DSuxZMeoF2v5IOibrblV9nRs2JVyVHa45snzenUD7W2kS6Mmklb8q1pyzhRqSruleu+2xOB7NeY7Yw6V0LJr1A+zfpnpMz9V1PJm2PpdV/fZq0rGu+ws7p68aINfG3297mMNenMFHrhnhlfoBJ71ow6QU6q0nzXbdLmidNPmvqFxP8aZM59f3iRHTCPrMTrxMbiOgL/XmO4uPdkybe9livM7qHmAsTK+XQd/3M4Vo/G+3IVtYLBJPetWDSC7TapKNZKJYlEn+xH/dijMlpbZ28OKGvPLcq3WerjPYUfeY0ZQRZ3dck/jgux/zi3LKxXrsaPcVciDEj+TWo27XOaE8yh53aN5dhfm6sO0x634JJL9B5H1sad969iE3pFKuQreq4zya06slBD+p2LkzoUutNgknvWjDpBTqXSY8rie7MJq4E+ktu/fbZhNgsLtGg+50LbV1qvYVg0rsWTHqBeHXDF/QlJlEIgvak7M8AyEe7FUwagiAIgjoVTBqCIAiCOhVMGoIgCII6FUwagiAIgjoVTBqCIAiCOhVMGoIgCII6FUwagiAIgjoVTBqCIAiCOhVMGoIgCII6FUwagiAIgjoVTBqCIAiCOhVMGoIgCII6FUwagiAIgjoVTBqCIAiCOtXN77/6wwAAAACA/sBKGoIgCIK61DD8P39YDbrUwAKBAAAAAElFTkSuQmCC"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![op5.PNG](attachment:op5.PNG)"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "2. Create the below pattern using nested for loop in Python.\n",
    "*\n",
    "* *\n",
    "* * *\n",
    "* * * *\n",
    "* * * * *\n",
    "* * * *\n",
    "* * *\n",
    "* *\n",
    "*"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "*  \n",
      "* *  \n",
      "* * *  \n",
      "* * * *  \n",
      "* * * * *  \n",
      "* * * *  \n",
      "* * *  \n",
      "* *  \n",
      "*  \n"
     ]
    }
   ],
   "source": [
    "for i in range(1,6):\n",
    "    for j in range(i):\n",
    "        print(\"*\",end=\" \")\n",
    "    print(\" \")\n",
    "for i in range(5,1,-1):\n",
    "    for j in range(i-1):\n",
    "        print(\"*\",end=\" \")\n",
    "    print(\" \")\n",
    "        "
   ]
  },
  {
   "attachments": {
    "op6.PNG": {
     "image/png": "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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![op6.PNG](attachment:op6.PNG)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "3. Write a Python program to reverse a word after accepting the input from the user."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Enter a word: hellopython\n",
      "nohtypolleh\n"
     ]
    }
   ],
   "source": [
    "word=input(\"Enter a word: \")\n",
    "rev= word[::-1]\n",
    "print(rev)\n"
   ]
  },
  {
   "attachments": {
    "op7.PNG": {
     "image/png": 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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![op7.PNG](attachment:op7.PNG)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "4. Write a Python Program to print the given string in the format specified in the sample output.\n",
    "WE, THE PEOPLE OF INDIA, having solemnly resolved to constitute India into a\n",
    "SOVEREIGN, SOCIALIST, SECULAR, DEMOCRATIC REPUBLIC and to secure to all\n",
    "its citizens"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "WE, THE PEOPLE OF INDIA, \n",
      "\thaving solemnly resolved to constitute India into a SOVEREIGN, \n",
      "\t\tSOCIALIST, SECULAR, DEMOCRATIC REPUBLIC \n",
      "\t\t and to secure to all its citizens\n"
     ]
    }
   ],
   "source": [
    "print(\"WE, THE PEOPLE OF INDIA, \\n\\thaving solemnly resolved to constitute India into a SOVEREIGN, \\n\\t\\tSOCIALIST, SECULAR, DEMOCRATIC REPUBLIC \\n\\t\\t and to secure to all its citizens\")"
   ]
  },
  {
   "attachments": {
    "op8.PNG": {
     "image/png": 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   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![op8.PNG](attachment:op8.PNG)"
   ]
  }
 ],
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}