Assignment2.ipynb

{
 "cells": [
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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Task 1:\n",
    "\n",
    "1.1 Write a Python Program to implement your own myreduce() function which works exactly like Python's built-in function reduce()\n",
    "\n",
    "![image.png](attachment:image.png)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "189\n",
      "194\n"
     ]
    }
   ],
   "source": [
    "def myreduce(fun, l, init=None):\n",
    "    it = iter(l)\n",
    "    \n",
    "    if init == None:\n",
    "        value = next(it)\n",
    "    else:\n",
    "        value = init\n",
    "\n",
    "    for i in it:\n",
    "        value = fun(value, i)\n",
    "\n",
    "    return value\n",
    "\n",
    "l = [1, 2, 3, 46, 5, 33, 99]\n",
    "print(myreduce(lambda x, y : x+y, l))\n",
    "print(myreduce(lambda x, y : x+y, l, 5))"
   ]
  },
  {
   "attachments": {
    "image.png": {
     "image/png": 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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "1.2 Write a Python program to implement your own myfilter() function which works exactly like Python's built-in function filter()\n",
    "\n",
    "![image.png](attachment:image.png)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "5\n"
     ]
    }
   ],
   "source": [
    "def myfilter(fun, l):\n",
    "    for i in l:\n",
    "        if fun(i):\n",
    "             yield i\n",
    "\n",
    "for i in iter(myfilter(lambda x : x%5 == 0, l)):\n",
    "    print(i)"
   ]
  },
  {
   "attachments": {
    "image.png": {
     "image/png": 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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "2. Implement List comprehensions to produce the following lists.\n",
    "\n",
    "['A', 'C', 'A', 'D', 'G', 'I', 'L', 'D']\n",
    "\n",
    "['x', 'xx', 'xxx', 'xxxx', 'y', 'yy', 'yyy', 'yyyy', 'z', 'zz', 'zzz', 'zzzz']\n",
    "\n",
    "['x', 'y', 'z', 'xx', 'yy', 'zz', 'xxx', 'yyy', 'zzz', 'xxxx', 'yyyy', 'zzzz']\n",
    "\n",
    "[[2], [3], [4], [3], [4], [5], [4], [5], [6]]\n",
    "\n",
    "[[2, 3, 4, 5], [3, 4, 5, 6], [4, 5, 6, 7], [5, 6, 7, 8]]\n",
    "\n",
    "[(1, 1), (2, 1), (3, 1), (1, 2), (2, 2), (3, 2), (1, 3), (2, 3), (3, 3)]\n",
    "\n",
    "![image.png](attachment:image.png)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['A', 'C', 'A', 'D', 'G', 'I', 'L', 'D']\n",
      "['x', 'xx', 'xxx', 'xxxx', 'y', 'yy', 'yyy', 'yyyy', 'z', 'zz', 'zzz', 'zzzz']\n",
      "['x', 'y', 'z', 'xx', 'yy', 'zz', 'xxx', 'yyy', 'zzz', 'xxxx', 'yyyy', 'zzzz']\n",
      "[[2], [3], [4], [3], [4], [5], [4], [5], [6]]\n",
      "[[2, 3, 4, 5], [3, 4, 5, 6], [4, 5, 6, 7], [5, 6, 7, 8]]\n",
      "[(1, 1), (2, 1), (3, 1), (1, 2), (2, 2), (3, 2), (1, 3), (2, 3), (3, 3)]\n"
     ]
    }
   ],
   "source": [
    "s1 = 'acadgild'\n",
    "s2 = 'xyz'\n",
    "\n",
    "l1 = [i.upper() for i in s1]\n",
    "l2 = [i*(j+1) for i in s2 for j in range(4)]\n",
    "l3 = [j*(i+1) for i in range(4) for j in s2]\n",
    "l4 = [[i+j+2] for i in range(3) for j in range(3)]\n",
    "l5 = [[i+k+2 for k in range(4)] for i in range(4)]\n",
    "l6 = [(j+1,i+1) for i in range(3) for j in range(3)]\n",
    "\n",
    "print(l1)\n",
    "print(l2)\n",
    "print(l3)\n",
    "print(l4)\n",
    "print(l5)\n",
    "print(l6)"
   ]
  },
  {
   "attachments": {
    "image.png": {
     "image/png": 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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "3. Implement a function longestWord() that takes a list of words and returns the longest one.\n",
    "\n",
    "![image.png](attachment:image.png)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "abcdekjsnfkjsdsdjff\n"
     ]
    }
   ],
   "source": [
    "def longestWord(l):\n",
    "    n = [len(i) for i in l]\n",
    "    m = n[0]\n",
    "    for i in range(1,len(n)):\n",
    "        if n[i] > m:\n",
    "            m = n[i]\n",
    "    return l[n.index(m)]\n",
    "\n",
    "l = ['abcd', 'abcdekjsnfkjsdsdjff', 'ooobhghsg', 'hahsdjggsah']\n",
    "\n",
    "print(longestWord(l))"
   ]
  },
  {
   "attachments": {
    "image.png": {
     "image/png": 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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Task 2:\n",
    "\n",
    "1.1 Write a Python Program(with class concepts) to find the area of the triangle.\n",
    "\n",
    "![image.png](attachment:image.png)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Enter length of 1st side: 45\n",
      "Enter length of 2nd side: 45\n",
      "Enter length of 3rd side: 56\n",
      "area = 986.3792374132781\n"
     ]
    }
   ],
   "source": [
    "class shape:\n",
    "    def getSides(self):\n",
    "        self.a = int(input('Enter length of 1st side: '))\n",
    "        self.b = int(input('Enter length of 2nd side: '))\n",
    "        self.c = int(input('Enter length of 3rd side: '))\n",
    "\n",
    "class triangle(shape):\n",
    "    def Area(self):\n",
    "        self.getSides()\n",
    "        s = (self.a + self.b + self.c) / 2\n",
    "        self.area = (s*(s-self.a)*(s-self.b)*(s-self.c)) ** 0.5\n",
    "        print(f'area = {self.area}')\n",
    "        \n",
    "t1 = triangle()\n",
    "t1.Area()"
   ]
  },
  {
   "attachments": {
    "image.png": {
     "image/png": 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t6/9efW5CDaU+/0I4jvip69PBmDhk/k76ZfgTaJS5j2As1xs/majjAA7gAA7gAA7gwNUdINB41IFG8Gl9GByEv7uLMJ/k1ifk6bH2b7llQCav8rc8rLISYEjAIRPLES8Kg5NI9wl6+ZPpgQlLrT1uAtxPiGUiLcGMfnBkFIBMCw6WCzT8pDYerwEe/XjMH2jIhHJae3y7i4GGHsc+fLLHRsfp8Yz26/HzzpqgRN9uIsFAz8HXq48ZdHHqbSemvu/UFz/VKzWU+tOr78b9xyILUGrjRqAh/vEzdhoe8MABHMABHMABHNiSAwQajzzQCCfgvZjy6bSZgMvtE/qnn/Sa5fbJrShy/rhAIywreFFIw5RagFCZQOo2DE4iRx4j/Yl+VtojqwlCnnabTILrAVBUfqNf+jgCjcCVAVbCNQoq5Jya4xKcjQg0tGcPDjRq35Ai7Wz+9IHG73/6g/q6eazjRqAxLvgZw5JjYIkDOIADOIADOIADq3eAQOMWA400VCheqPUJOoGGnTzGKwvqvGTiPeYngcaMgUa0AiMpd0SgMWYsBsO1ySs0HnDLSXSbDCs0xlx3HJNcH8X/JnAMnuAADuAADuAADqzPAQKNWww0TnJbSGUVhXkzWz8mmsj3n4TLSoX6eeYFIA1TKisiWi8Wg5PIBVZo5CtWXIAhn/jLLSetSfSIScKYSXSVjRsL/9wI+4LTDqDGvijVJsZjzm87Efk0glHa/+IKDTceKYv+3BGBxilb7ZD3ddDFEWX0bXJ9f/BDQQk0Vv9JQjrm/J1fWzCBCQ7gAA7gAA7gwBgHCDRuMtDQF4ebkIe3nfSTc3fxSNjgjvGTw/DcvTqaifQaAg096e7sQxGDn2c9S0P6nLLQk03ZJ8yiYx6yQsM+z8A8zDFo99DtDnKBy+0w6cM15faYBwUaekIetsn8vlOHd2NeYENPglubktBnWqAhIUlQrh6X0pjIeIXfOjMm0DC3i3Rqf5f2dbxng4FHKcB5yNe2ZgFKLYjiGRpy/fAz9Zu/cQIHcAAHcAAHcGA7DhBoPNJA4zFfhJMmiaWJI9v4JHvAAbNiJlrxcMaL++TbTc6oY6D99dcBAo06m0vwpw744wAO4AAO4AAO4MAcDhBoEGhsblJLoMGL3xwvfuPKsBP/s1b5mJDBruLIV3esZewINMaN/1rGi3YwXjiAAziAAziAAzhQcoBAg0Bjk4FGfxvE1E/PJ3+yzQtJ6YXkcW+r3bZRd0Gv7Dg/BKmXNx/f+HaZ9QYul2BBHfN5BUtY4gAO4AAO4AAOXMcBAg0Cjc0FGrxYXOfFAu5wxwEcwAEcwAEcwAEcwAEcWJMDBBoEGgQarNbAARzAARzAARzAARzAARzAARzYnAMEGgQam5N2TYkgbSGhxgEcwAEcwAEcwAEcwAEcwIHrOECgQaBBoEESiwM4gAM4gAM4gAM4gAM4gAM4sDkHCDQINDYnLennddJPuMMdB3AAB3AAB3AAB3AAB3BgTQ4QaBBoEGiQxOIADuAADuAADuAADuAADuAADmzOAQINAo3NSbumRJC2kFDjAA7gAA7gAA7gAA7gAA7gwHUcINAg0CDQIInFARzAARzAARzAARzAARzAARzYnAMEGgQam5OW9PM66Sfc4Y4DOIADOIADOIADOIADOLAmBwg0CDQINEhicQAHcAAHcAAHcAAHcAAHcAAHNucAgQaBxuakXVMiSFtIqHEAB3AAB3AAB3AAB3AAB3DgOg4QaBBoEGiQxOIADuAADuAADuAADuAADuAADmzOAQINAo3NSUv6eZ30E+5wxwEcwAEcwAEcwAEcwAEcWJMDBBoEGgQaJLE4gAM4gAM4gAM4gAM4gAM4gAObc4BAg0Bjc9KuKRGkLSTUOIADOIADOIADOIADOIADOHAdBwg0CDQINEhicQAHcAAHcAAHcAAHcAAHcAAHNucAgQaBxuakJf28TvoJd7jjAA7gAA7gAA7gAA7gAA6syQECDQINAg2SWBzAARzAARzAARzAARzAARzAgc05QKBBoLE5adeUCNKW7SXUXdfhPP+xxgEcwAEcwAEcwAEcwIFH4ACBBoEGF/IjuJAJVsYHKwQa41nhFaxwAAdwAAdwAAdwAAfW7ACBBoEGgQaBxk05QKDBf5TX/B9l2oafOIADOIADOIADODDeAQKNtQca7w9qt+9UdzguN+n81151dwd1X5jY37/YKT0BtP/26hgcc3yqt+/U4V0sXHTO0wXbHbRl3EV/VPu+L3m7x5UR93WL5+hx2724n+DTvTo86dT+LmDw7qB2PdPYj+XZ6PFs1PnNQe0KXhNoBON39jXEuct7DWMY4wAO4AAO4AAO4MBYBwg0HnOg8XavuufloKIXRE/6Pt+pwzeFi8ZMVusT/1qgIWWbYKMYaBQmxhedWOmJcL1f0v7H+nNqoGHGuzieJ3UyrjTChQeN7706/KZT3a926nAfe2oce1J3/Pi2U93bOFQj0IgZPlbP6RfjjAM4gAM4gAM4gAOP3wECjbUHGg+ZCA4GGvfqcNep3d8rn9bf7VXXmCwOvUAQaKzzBWRSoKFdaK2GWDDQuP/LTnWv9mpfCDS0g+3+WMf3//JjQaDhWQxdw+yHFQ7gAA7gAA7gAA7gwJodINBYMtDQgcLhqO5f71SnbxvZd2r3OggPJHCQ20qSW0uOB3tOdp4OOVplh+W5em39ySfojVtNtLTVT79H3mZQCjTMp/z9LQpyK0tyC4SZPMu+ZCWFhCxhG2qrBqphUH2FRty+sG69qkT/Hd62EvM0/U37NqJt5Ql5sool7K+uIyy3DxOCtkVBlC3L3jZkuca3nATn6bKjc/ULeNKWEte+DTO/4N8f1M4EGcdqoDG4OiTxnEBj5jEq+cC2Cbd0MS5rfrNE2/ATB3AAB3AAB9bpAIHG0oFGGFKYoGGnDu+dDDqUMIGDmxin+92kQAcbURCit8u58mwN83c8wTbHNG450cvxS6sz4km9BAtJ6KDbMDCJLQUa9oWgMUE2ZQZBQroyoA87XF/T40dNpMqBRhrg2IBCmEooIG2zf/fBQNIOwzALBsovAmVOISMbOPhnV9i/47r1OEnb4uNNW4IAJA1Q0r+zF+uBcTbHjzlm1NiEjOytJru/6BCwEWgMBi5HtQ9uqyLQCBnze+b72Z7CEIY4gAM4gAM4gAM4cC0HCDSWDjSiQOFeHZ53av/WCW9CiCDg0BOzcL97Y10NNKKyj2q/D8tyoUd0THih5UvxUwnTCX66f4lAQ9fZT9RN/8OJ/UmdTKAhE3fdn2T/qMlIKdCIQwDb17Ds8HfLMQwiMlZpENNqlz7WBQ4+XPBtzMrWZelzJDAxYUL8sM6+nELQ0O9zbdJ/92WV2hnWVdqvtxXqyXypnVvb/n971f1Gno/RCjTOu+2EQCN8HeD3B3ta85ftrFLBARzAARzAARzAgcUdINC4QqDRr7bQgUY1cPATjWUCDf2pdafCZwukb+yLE+nwohyYxIYT/rjsPByQ/WZynd620QWT9TGT67CNxd99WCD1mhUA/QoHYR+2M/zd7o/6p9sVnG/6EayK8PVI2cFPzdGEE0e1f7pXe3OebqNdHRLVI/0JObTGobAvDTQkFJJbUvxKkKCfEp5I/enPQj3NPqfnZ3+nAUb6d8BPbo9q8A5XIxFoxOweNk6UBT8cwAEcwAEcwAEcwIHrOUCgcYVAI1qhcbVAY50rNPLJdnJxhBP5bBKcHFvdXws0guDEnKuPk20DgYaZ0Pvbc5oP0Mza5cKLu71ZnXJ8uldHXZ4LEUrBUrStFSYU9jUZu35EocYY5oV6HvTCrldn/Ep/s0nh36v4W0t0Pc0+6VU8dz68I9AYe51w3IMczq5zeMITB3AAB3AAB3AAB+Z2gEDjgoGGfTioPJNh6JYQL/vkFRqVZ3KIROGn1rIt/BlNmktvzgcmscWVBa4cPQGV2yzCOvNbSjwHc9yYyXWprdG2UqBhJ8XhrRdx/9uBRntCnfQhaoveZwONw4u9OryzD2PVKzV6PlnIEAYtQ7d7xMeaPnWF56H0bYqPN8wHxnnwGNf+kG005n3dLU6tFRr52MTl8wyNmEeLM/tghQM4gAM4gAM4gAM4sB0HCDSWDjRa3zLSvOVEPxPDf8uJfXho8HDQ7NzCMzT0UvzgG1a6fRCm6Emk/vaHz5NtweQyntB7qWVSLLco2J9Sjp1cxvtK4YWdOMtx0XMzdGgR3XYiZSfPjgjaOupFJys3fJCm7Z8JWvq6g3oLz+owHOQ2B5m09+fqssPzPb+8rY6Z3NbhyoqYJOXn+xp1hf1+ejTfXuPPj8dBc/f7pM22ffl29004UZ9L/RYnGm0cHMtGoGHYNMrmW04Wv3cxd1rc4SdscAAHcAAHcAAHcAAHlnOAQGPpQGPELSXXE9wuxS9908n12rSc7Ev2qbRCo7oKZXDyvkIGJhRphAYDfTIsJLAZOPbccSqx92XEt5vo7Tq08ftXyHpmPvSVMcYBHMABHMABHMABHHisDhBo3HSgcVKnbw5qF3yl5WMVfdl+lVYw2JUPpVUNy7ZluRfrSQGNrA5ZKMyorSISxvq2qu5t/MwNAo3lHBHu/IQxDuAADuAADuAADuDAJRwg0Lj1QEN/Gpwsyb+EeLPXkdySEd+yUrqNYuYXmEL9EmaYICC7LUMeIDp91cPsDAdXBtjgJnpg6OA5M3OO6tOhUYOfDuvu5GtffTsINDyLyztE3TDHARzAARzAARzAARyYzwECjSUDjWjyNd+gcQHAEgemO0CgMZ0d3sEOB3AAB3AAB3AAB3BgTQ4QaBBo8DwBgiccwAEcwAEcwAEcwAEcwAEcwIHNOUCgQaCxOWnXlAjSFhJqHMABHMABHMABHMABHMABHLiOAwQaBBoEGiSxOIADOIADOIADOIADOIADOIADm3OAQINAY3PSkn5eJ/2EO9xxAAdwAAdwAAdwAAdwAAfW5ACBxgyBxldffaW+/fZbggESTRzAARzAARzAARzAARzAARzAARy4gAN6Dq7n4qX//ezzn5c2m21ddc+N7vjw4YMBqdMh/sEAB3AAB3AAB3AAB3AAB3AAB3AAB5Z1QIcZei5e+h+BRokK2yAAAQhAAAIQgAAEIAABCEAAAhBYNQECjVUPD42DAAQgAAEIQAACEIAABCAAAQhAoESAQKNEhW0QgAAEIAABCEAAAhCAAAQgAAEIrJoAgcaqh4fGQQACEIAABCAAAQhAAAIQgAAEIFAiQKBRosI2CEAAAhCAAAQgAAEIQAACEIAABFZNgEBj1cND4yAAAQhAAAIQgAAEIAABCEAAAhAoESDQKFFhGwQgAAEIQAACEIAABCAAAQhAAAKrJkCgserhoXEQgAAEIAABCEAAAhCAAAQgAAEIlAgQaJSosA0CEIAABCAAAQhAAAIQgAAEIACBVRMg0Fj18NA4CEAAAhCAAAQgAAEIQAACEIAABEoECDRKVCZue/NZp7rO/fvkpfomK+eNetZ16smrfE92aL/hG/Xyk049+7Lf8LBfvn6pnnTP1JtRpdi6R7X3y2em77O1M2jfN6+eeK7SdlPfmH7YPnTF8Qgqaf16FrO8IO1FkWGTmXVFfMrOd+fa/U/Uy6/Deqd4Fp7f+n3Jsiv16r42xs/48dk4o/MadH9SfvlRD9uyJLNK2QPM2v2Z+TWn2pYZrs12R87bW21nXIx9PSq99tixkGt2idfCuCX8BQEIQAACEIAABCBAoDGjA9WJa19HZfLR7y/9MvPk4qzJua07m0yXmqknA92MwYvUYdpbmHCa+kqTCjlRfs4waTqLmdTrf1a9aDAz4Vh1km49qk+Ypnjm29v+bcmyKzUPTDQJNAqB2QCzCmm3eebXnGpbZrg22x05b2+1nXEx9UBDjpuZnxTLTwhAAAIQgAAEIACBjACBRoZk+obqxLUvcmgi2h8Y/DLzm+OzJue27lGBRtDiWX+tTTL0dlmtMWuFhcLOYpafP+xFelh6JBkAAAstSURBVM7AmA+2Z4pnaRtqfy9ZdqXOmgPu8K0EGvUAqtLvUZsr4zHArF30gH/tk/O9D2pLXtxiW0a20/jWWDGk1Mz8FuswBUMAAhCAAAQgAIHtEyDQmHEMz5+4BpXrN9Nyu0q00kHeHNuJiz0mX5lgPzX0t7xEk6ek7DQIiM8Ny7Z1+0BD2uCOycrNV2jEZYf7ddl65YWUqdse1m3ZVCcPpm5/vNRj22rbHfLMb1kI6+3yWxqyvvm6dMukPqkj4u0mNLJP/+wZZuWGTMQH27a4TNmnlEr6Huy56q9tJkqZVSe948mqGxPSeH+7cHWK7u8nL9Wb4NajnqeMxWdvovJjdslYmzZI/XrfE/XyS30rVvl2sXa/WmVfcTgGmOmWxf0SHmaPu80t7Fvsv3XQj1c4HnnZ4fU14tpMXTDj4uuP2+3a0PuSlu/Ps6MR9qlT53hmzx/z/7YNsYNjzuMYCEAAAhCAAAQgAIFzCRBonEuscfz0QOONeta/IU8nrPIG3U84zMQwON6+wU/fuLuGmsmBP1eln+4nk2NTVv/po63bTlbsRCCduHgcdn/0Jj6tyx+sp1Nm0tT1zy8I60onv4WJU9DuZv9l4tb3yTaiOVZDzJr9cm0PxqdeV8LMlOv76gMRO7bFiZye7AV1RYgv+UcwHqZa87f3LvZKJtPibMJBJa6ZsoJ+JuMjXMTNtK7oenGMvae2Lh+mJW05Z6yzsi85AEldKbN0fL5+qZ4Fz/KJmbWvTWXGx49tUnMeuOm6k+tPzonr1Vvj1wEbnAR1JWNvxjYo25TXuB7efCbO6bqSsR5iJo0e/Gn74B0bPIEDIAABCEAAAhCAAAQmEiDQmAiudFp94lo6urVNv9GWN/GFN8fR5CR5U54Um7UpmaDp/fEb77zuJ69ejniYaaEdzQle3q/SZCSf8LgOOgYvzaf24SQlAdAINGqTrCFmNhRKubl6E756a1Ze38QCM7Ovtt2dGI1/X9gVf0kmoa4lvt+l/vjxL46x7qNMVMPfTdlxfZk30Rikdcfnlibnvt1KNcc6nRCnk/ErjogJAoSfaYfmIK8phYZFzPzYyJExY8tUAiQ5xv7Mz83b4s/Ixt60I2xnPH7Z8cm1YPYXVnr5GuPforHOPBtgFhcV/FVgEOzlVwhAAAIQgAAEIACB+QgQaMzHsjFxHa5Ev7H2n8jr3+VNfeHNcTj5yCYAcV3RG3a9Kzy3XyXRrtu2S9oTl+//iice/XYz4XDlRxOsvF/xpMmWkE1gpOCw3MYnsvrwchm2fmEehjptZq4BYf1hvyK+9tisPOlDNiGWHRWWstvU3Q5x5NDL/MzHUtfr+12aGPpzSuMeTYJ1f0PGUdlufEMHojFw4yz7s+slb5tvt6NXG2u5fqplX4Z+sZaMWdrP2H97HYhTfmyk7GyMDEd53ZDz9NH5udFYSoHuZ35tWvf7sCR13fztX4v0WKUrlMw2d/tQX47UG45leswgMylk6GeBwdAp7IcABCAAAQhAAAIQmESAQGMStvJJ2USofFi21bypjz5VDCcfhTfH0Rvv8Nis6GBS6fYVJnvhZD4uwdatJwV5G+Mjs+Xb6W43CfUT07xf2aSpGkaEt+UkE6BCvfmkKTnITc6EQzaOEbPk3LRfhWOz8voibNul3n5zNehwR5hJWTiJ9Gde5zfvia8/3Fbqp99WGp9oW+S7riF2J/MmGYNwgqsn7vEkV7fDT5B16fXxcrcTBeFKu2xP4+K/Zczifpp2B/0oBZ2hlxnjoENmX//6FY+NOSxriz85Gmez2Z4vQaP+GbZDVsz4/a3rwDrWj3dynevqorHO2hkz860e+q3AYOgU9kMAAhCAAAQgAAEITCJAoDEJW/mk6M1x+ZDi1vRNvZ0kySQrfXNs/+7fpKcT6qSGuGz7Bt8/LyB9lkFysps4Sl3ZJCg63JYdTT6i/elKibRfhU/aRwUasuokmfgEdccMgh39r3Hb4+NzZv1p7pfS8cLB7Msm0VJCXK9sHQyH9MSrn0D6s8b9Zrn7FUDjzho6yvYzmFwmbUzdiZhlE82ESzrRTMo2ZckqCd3QMNAIfy92Qtcl15o9oHUd5+0O+lwsf3ijvd7r/g6XUDgiZWZCMt9PU2fPTJyQvoy7Nvtak/GIynZj64PM/izzS8RTb8naHR/fGpv4SP2X7Ye8flkvPANTV3htZnXnbuR1lLbk/EpHsQ0CEIAABCAAAQhA4OEECDQezrAv4bw32/1pOpIwz6iQTx3tMyvkjbdMNmR5d/oJsy3HTCLcEur4U83wfF2mrksmLvZcM6kIzvWTj2RC4CYI5cmw7YNM5HXJWblRvfmbfnN8P8kK2hZ+kmw3lx88qPuQnN+3Iyoj5q159ZMeU36bWbtfsnrEjddnbwyHuHzpRM7M7qltd+clE0gpbexPaX84VmPPbR0n5VqPxV9/Ruxo7GD6yXvEy/TX+5+GOZk3SYgR12vL8eVr1nFbw+s47pM+N253u2zf9+Zvrn++Tc2jx+0cmpxL0OCu+2ev9Le8SN8Grs1sPGJ+8evZM/VG1xVdf74Lhm+0L7z2/Jj3ribttq7F7bbb3LnJ60E0Xp+8VC8/C679IWa+2QO/5fwGTmA3BCAAAQhAAAIQgMBEAgQaE8GVTgsnQqX9j3tbPjFcS3+zCe9aGpZ8an6xZpkJaToJvVjtl60oCTdM5WbbDP2fq2w3Se8n7ZcldNXasmszCxUkILShRek11oQUSXBx1U4lt0Rdty3UDgEIQAACEIAABB43AQKNGce39GZ7xuJXXZT9JFs+KV1TU+1qh1k//Z6pe5dnZlmUV9jM1Km1FWPCm9jL2bg/uGy/GuEWwwxZyRFem2ZsohUb4XNLLK/w+FIZ11eQFRrXHwNaAAEIQAACEIDArRAg0JhxpM0nhXLrRvKmfMZqVlNU1N9k2f5VG+k+8e6Xnq/o09vVMrvqgC1becw8v23kIbUvWfZD2rXacwevTR/y9Ndv+Fqanp/dLnbNnktgaG93uc2Q6pr8qRsCEIAABCAAgVskQKBxi6NOnyEAAQhAAAIQgAAEIAABCEAAAhsnQKCx8QGk+RCAAAQgAAEIQAACEIAABCAAgVskQKBxi6NOnyEAAQhAAAIQgAAEIAABCEAAAhsnQKCx8QGk+RCAAAQgAAEIQAACEIAABCAAgVskQKBxi6NOnyEAAQhAAAIQgAAEIAABCEAAAhsnQKCx8QGk+RCAAAQgAAEIQAACEIAABCAAgVskQKBxi6NOnyEAAQhAAAIQgAAEIAABCEAAAhsnQKCx8QGk+RCAAAQgAAEIQAACEIAABCAAgVskQKBxi6NOnyEAAQhAAAIQgAAEIAABCEAAAhsnQKCx8QGk+RCAAAQgAAEIQAACEIAABCAAgVskQKBxi6NOnyEAAQhAAAIQgAAEIAABCEAAAhsnQKCx8QGk+RCAAAQgAAEIQAACEIAABCAAgVskQKBxi6NOnyEAAQhAAAIQgAAEIAABCEAAAhsm8P5/9+qXd59We9DptIN/MMABHMABHMABHMABHMABHMABHMABHFiTAzrM+OLfX9YDjeoedkAAAhCAAAQgAAEIQAACEIAABCAAgZUS6FbaLpoFAQhAAAIQgAAEIAABCEAAAhCAAASqBAg0qmjYAQEIQAACEIAABCAAAQhAAAIQgMBaCRBorHVkaBcEIAABCEAAAhCAAAQgAAEIQAACVQIEGlU07IAABCAAAQhAAAIQgAAEIAABCEBgrQQINNY6MrQLAhCAAAQgAAEIQAACEIAABCAAgSoBAo0qGnZAAAIQgAAEIAABCEAAAhCAAAQgsFYC/w9xZdf7tVgOowAAAABJRU5ErkJggg=="
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "1.2 Write a function filter_long_words() that takes a list of words and an integer n and returns the list of words that are longer than n.\n",
    "\n",
    "![image.png](attachment:image.png)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['abcdekjsnfkjsdsdjff', 'ooobhghsg', 'hahsdjggsah']\n"
     ]
    }
   ],
   "source": [
    "def filter_long_words(l, n):\n",
    "    return [i for i in l if len(i) > n]\n",
    "\n",
    "print(filter_long_words(l, 4))"
   ]
  },
  {
   "attachments": {
    "image.png": {
     "image/png": 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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "2.1 Write a Python program using function concept that maps list of words into a list of integers representing the lengths of the corresponding words.\n",
    "\n",
    "![image.png](attachment:image.png)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[4, 19, 9, 11]\n"
     ]
    }
   ],
   "source": [
    "def fun(l):\n",
    "    return [len(i) for i in l]\n",
    "\n",
    "print(fun(l))"
   ]
  },
  {
   "attachments": {
    "image.png": {
     "image/png": 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Mr6cEPpdgVtaneMpGPMZjOpmXYdYOU6p6fT30JJChtr4As96OZBlsHHIOXIZZOZ0kDRiHuIwtvwCz5gf0MX5FNy/DrBvKtr2L+97xeglm5bmZBizHsxsMMdzYc7+f5WPni+8w5AAHOMCBmTggxLihEGO1TG7YuXkaSHOvieKX78PvN5H8wlv/klh22A95OsmHZVhs6pPUsX4CSfdGnofXseoQHBWw1B3fOHXj4U3x5I1DOnAFn/qpLSffMyRhXV5AYme3mU7SdNC76/Z/Ln/hz7JwFJuBi1jZMdqa6jIRZp32PCYEugSz+BfxyrPPw/ffTsGzob/SH97BvAizvlEiB4calzg3t8/Lol2ncG4W1/gyyIjn58G8Lng967TnMedm+TPs9aI/MBZi+MV74GdWEzz2/5z0PS4c4AAH5ueAEOOGQoz7PQFPCDHO8ktP/VfVs47EONPFpPyr6oVGYpzEDrPDz1fMMDvTdWH03J2wZ0UQPxRijB7TNbjZx+HnJ2aYcYADHODAcQ4IMYQYN/DXm+qX7nOONtj3ghL/An3eqSTHncztOtd/gb7UVJITOgyYHd6+mGHWPr8P57HP9tP1rDneso5TDIxPuCbu0zbWaRzAAgsOcIADHBBiCDFuJsTYTHPxC+4NtKmLsx/QHOBA40D5hKxiGuPZ7z/U7ANvLDjAAQ5wgAPzcECIIcTQ4fUXNA5wgAMc4AAHOMABDnCAAxyYhQNCDCHGLESVis4jFdVO2okDHOAABzjAAQ5wgAMcuKQDQgwhhhBD4soBDnCAAxzgAAc4wAEOcIADs3BAiCHEmIWol0zylC0p5gAHOMABDnCAAxzgAAc4MA8HhBhCDCGGxJUDHOAABzjAAQ5wgAMc4AAHZuGAEEOIMQ1RH/KQ5VlYvH2cRn3W6/D4dlHWqahX+/8iLD/MI6WUJmsnDnCAAxzgAAc4wAEOcOCWHBBiCDGmERpMMMRoTvRVyIsg49UyPEpnp+GLdtAOHOAABzjAAQ5wgAMcuEsHhBhCjDOI/xiWr+pO/odlWNQjF9qjKuogII5qWK7q/XaWx+/zONqh/r67/iZQSL6vg5Bi1ET+UKWt1WiKPCzTURWbsvZNZOt9bPZZb1fvr9jXahlHa+RhVV9Mq2Xdz/G4ijJqbvGYu+W7KJ/BzX3b2HpNaIcFFhzgAAc4wAEOcIAD03VAiCHEOENHMYYYi7AoO+Kxcx478J0QoA46WiHH4EiMJKQoO/Wdstbx8yIsynAifq5GTWymhNQBQfU5DRL2OTnbZW4uaLHOrxZVaBI/11NixkOMAUYHByz71N86mzYTDJ3hfOcTnzjAAQ5wgAMc4AAHns4BIYYQ4wydmtghb8KBVliQjFioTvYYeiTTMzoBQHNRqAOETee+GyjUn/MYmMRREdXnVj2S+1zEkRrNfsZOwu4+63XrOmfdutWfR0OMniCnu/5+dRurt+8w5AAHOMABDnCAAxzgAAduywEhhhDjjCFGEySkF4rNaIg4bSK+ptMnTg0x0rKSv7ZfI8RojShJ9t0NJarPddATA5DIYvPazzDl6f1tXYS1p/bkAAc4wAEOcIADHODA/g4IMYQYFw8x1nWHfXT0w72FGD0jMVy49r9wYYUVBzjAAQ5wgAMc4AAH7tMBIYYQ4/Ihxua+Fcn0kWTEQnnxiTcE3UzNiCdkeypHNZohfVJI+/vuhezpR2J0R17EKTdxCo6RF9028zm675ULHOAABzjAAQ5wgAMc6DogxBBiXCHEWId1DCk20yay0J2G0Z52Ejv76xBHchRPHSnuP1EGGZvpI9MNMdYxvCmPOQ+rcrRJclyt7+unm2yFOC5a3YuWz5zgAAc4wAEOcIADHODA/TogxBBinCHEuN8TyMVT23OAAxzgAAc4wAEOcIADHLieA0IMIYYQozu1xWdOcIADHOAABzjAAQ5wgAMcmKQDQgwhxiTFlGReL8nEGmsOcIADHOAABzjAAQ5wYC4OCDGEGEIMCSsHOMABDnCAAxzgAAc4wAEOzMIBIYYQYxaiziUVVE8JNgc4wAEOcIADHOAABzjAgcs5IMQQYggxJK4c4AAHOMABDnCAAxzgAAc4MAsHhBhCjFmIKsm8XJKJLbYc4AAHOMABDnCAAxzgwFwcEGLcTYjxGJavspDl8X8eVpJGAQ4HOMABDnCAAxzgAAc4wAEOzMgBIcbdhBgxWYxhhhBjLkmjekZ3vXKBAxzgAAc4wAEOcIAD9+6AEEOIIXWcUep47xcsx++HNgc4wAEOcIADHOAAB+7bASHGjYUYj28XyZSRRVh+6Ao+MhLjwzIsNtNNimkn7dEau8tehTzLQvZiJRgRjHCAAxzgAAc4wAEOcIADHODA2R0QYtxQiBFDhvyhCi5Wy+0gYr0eCjFWIS8CjGV/ALFf2UIMqXA3NPOZExzgAAc4wAEOcIADHODA+RwQYtxMiFGHE6+W4TGmfQ95OSojhhrVibMjxMhHRm/sLPt8YjrJseQABzjAAQ5wgAMc4AAHOMCBrgNCjJsJMeqRFK3pINWTSPYLMdZhXYce208w2bdsJ1j3BPOZExzgAAc4wAEOcIADHOAAB87ngBDjZkKMnpEYcURG63VoJEZbqmoqShYWbx/DZgpKOhKjVWZ7WycoHhzgAAc4wAEOcIADHOAABzhwCQeEGDcTYqxD974V/cLsF2LEURlViLFv2e6J0c/cxQsXDnCAAxzgAAc4wAEOcIAD53BAiHFDIUYhRBxBsf+UkPoJJFtPJtm+yedw2fFkFGKc46RURvTJKxc4wAEOcIADHOAABzjAgbYDQowbCzEI3hYcDzw4wAEOcIADHOAABzjAAQ7cjgNCDCHG2Z/b6wJxOxcIbaktOcABDnCAAxzgAAc4wIEpOSDEEGIIMdyklAMc4AAHOMABDnCAAxzgAAdm4YAQQ4gxC1GnlPypiySaAxzgAAc4wAEOcIADHODA0zggxBBiCDEkrhzgAAc4wAEOcIADHOAABzgwCweEGEKMWYgq5XyalBN33DnAAQ5wgAMc4AAHOMCBKTkgxBBiCDEkrhzgAAc4wAEOcIADHOAABzgwCweEGEKMWYg6peRv37o8vl2ELM82//MHCe6+7KzHFQ5wgAMc4AAHOMABDnCgzwEhhhBjGiHGQ1529hdvH6dRnzKFfQzLV00IEQOJQ+sYwwwhhotw30XYMl5wgAMc4AAHOMABDnBgfweEGEKMaYQGkw4x8rA6YWiZEGP/C5KLN1Yc4AAHOMABDnCAAxzgwJgDQgwhxhlCjHrEwqtlePywDIt6CkV7xMIq5MnUimy5qvfbWb5ZZxGWH4qTt/6+u36xrzJYSL6vg5BixEQc9VAFCHlYplM7NmXtujjEkRjDIUYMKMZGacR1Yp2aE7J77PGYY7063+9d77i914Y1FlhwgAMc4AAHOMABDnDgFhwQYggxzhhiLMKiDBe6nf+6Mx6DhzroaIUcgyMxkpAiDS1iWTHkeLUIi7KT395XDBCyev3qczcsGLqYdY+js96HZciT6S+rZTH1ZLvsWId2iJEEP72jPNrHse5j1rtdp47WOYPfmN7CDzvHwGMOcIADHOAABzhwGw4IMYQYZ+jkxc5+04FvhQV1QNF04ns68KeGGHkzWqIKE6rPrXqs16E/UBg6meNxte+L0RxHe7uhsvuXN2X3lrcPMwHFGdxtt6EfbHhwgAMc4AAHOMABDnBg2g4IMYQYZ+gIxg55EySkJ37sxMcpF5vXzWiKdVifGmKkZSWd+2rf3XClmW6S1nP7/fhxrdfx+/GQIx7/VliRTL2pmGzXc8MqTrMZOM7tuk/7wqO+2ocDHOAABzjAAQ5wgAMcOMYBIYYQ4+IhRgwotjrxSdgQ12lNMSm/33c6SbxHRvtCcMkQozt9ZCisGFqenrBxnc29QrZGYrSPK93We2w4wAEOcIADHOAABzjAgXtxQIghxLh8iLG5b0V/0FCebHFUwtbNK9v3hqiCgyzEe1xsbvw5MELh8iFGHH1S1zO5qWi8iMSAYjTE2Tr+9nHHsrz64cQBDnCAAxzgAAc4wAEO3LMDQgwhxhVCjHWIN6ZMp0d0R13Ezn53akUcpVEuX65CGWRsQovxzv4lQ4z2MS3C8qF6MksMKzaBS5wKUr9W3zehx4bJ5pjqi3IMNpLtu8zu+eLl2P3w5gAHOMABDnCAAxzgwP05IMQQYpwhxLi/E8fFUptzgAMc4AAHOMABDnCAAxy4vgNCDCGGECO9N4f3fOAABzjAAQ5wgAMc4AAHODBZB4QYQozJyinVvH6qiTnmHOAABzjAAQ5wgAMc4MCUHRBiCDGEGFJWDnCAAxzgAAc4wAEOcIADHJiFA0IMIcYsRJ1yEqhukmoOcIADHOAABzjAAQ5wgAPXcUCIIcQQYkhcOcABDnCAAxzgAAc4wAEOcGAWDggxhBizEFWqeZ1UE2ecOcABDnCAAxzgAAc4wIEpOyDEEGIIMSSuHOAABzjAAQ5wgAMc4AAHODALB4QYQoxZiDrlJFDdJNUc4AAHOMABDnCAAxzgAAeu44AQQ4ghxJC4coADHOAABzjAAQ5wgAMc4MAsHBBiCDFmIapU8zqpJs44c4ADHOAABzjAAQ5wgANTdkCIIcQQYkhcOcABDnCAAxzgAAc4wAEOcGAWDggxhBizEHXKSaC6Sao5wAEOcIADHOAABzjAAQ5cxwEhhhBDiCFx5QAHOMABDnCAAxzgAAc4wIFZOCDEEGLMQlSp5nVSTZxx5gAHOMABDnCAAxzgAAem7IAQQ4ghxJC4coADHOAABzjAAQ5wgAMc4MAsHBBiCDFmIeqUk0B1k1RzgAMc4AAHOMABDnCAAxy4jgNCDCGGEEPiygEOcIADHOAABzjAAQ5wgAOzcECIIcSYhahSzeukmjjjzAEOcIADHOAABzjAAQ5M2QEhhhBDiCFx5QAHOMABDnCAAxzgAAc4wIFZOCDEEGLMQtQpJ4HqJqnmAAc4wAEOcIADHOAABzhwHQeEGEIMIYbElQMc4AAHOMABDnCAAxzgAAdm4YAQQ4gxC1GlmtdJNXHGmQMc4AAHOMABDnCAAxyYsgNCDCGGEEPiygEOcIADHOAABzjAAQ5wgAOzcECIMcUQ48MyLPIsZMvV5SR6l4fs+TI8dk/Un5ZhkWUhe3HBfXf3eeLn1YssZEWdsywsXj+OMHsMy+dZyN9tJ6uf3nwevn72Mvx4VF3eh4dnz8LqzcetfRd169tflWyuQp7lYXXUPrePYcppqbppLw5wgAMc4AAHOMABDnDgHA4IMW4txHjIQ/aqJ5xIO8plULEIy596TqIZhhjxRCgCg7EQoww7BsKZS4UY6zHW63V4fL3oD5PS9vJ+KxyKbe615xzmC184wAEOcIADHOAAB27YASHGFEOMU4TbGWJUoxHGOvtz7RiOhhjFyJORUQ9liPHZl+HTUeyrkRgP3w50KIdGvdT7Gq33UfUZqIey/DDjAAc4wAEOcIADHOAAB2bugBDj3CFGESIsV+Hx7SJkxZSQPAuLt8kUhxgyxCkjnWkjq2W1zdZ2hWhjZafl1fut9t+ZrjDSoS5HKoxMyyhHDdTfF1M3NtMk+gKC7rI4wiNuH0dElMs7dSyOtVPP9r571l+vw3AYMDyNZHdg8zF8/9mz8PWz+v9RQceO/Q8xmPnFZTdbYQtGHOAABzjAAQ5wgAMc4MBhDggxLhFipMFEGS4swvJD3TBFEFGGDHVHvPt93XEtwoxW+BFDjLTssqxOhz6GJAMd4OGOfiNO7zqjHe3i3g5JqBGnScSgYt39vvpcjQYp3vdMbUlDjE4gMjQFo7feBYfRujfH3Xfx+PTmZfg+tt26CjT67n3Rt226rKzzhkd3nztCjoG2TMv3vsvUZ05wgAMc4AAHOMABDnDgFh0QYlwixGjdk+IxLF9lIX+oT6AyeEhCjXXn+7rDOhhitMpehTxPy6pHa7TWSU/c/TrLvWFAGQS0g4r0hGh30ov9NGgjcAoAABIRSURBVMFEb+iwCSmSdZOwIS2vqM9m1EfJpz/46K13sf5mXymL496X005+//7wIWg76jBYdwHG4awxw4wDHOAABzjAAQ5wgAM364AQ40ohxmZUxY6REjEYuEyI0R0R0d+RH+xQlyMi6ieBdJ9skgQQ5ciH5Ps0kIjHlwYLMaR4fJ2H/EVe3nC02KYaqVEFL/HpI81rE5LEMofq3Rui7HtR+/BlWMWpJPH1mBAj5dOz715GPevFY/Xa7y4uuHCAAxzgAAc4wAEOcOC2HRBiXCnEaI3EGBwp0ch2mRDjhJEYnQ51ERi0H9HalN0EENXx9IUI6bJq/VVYPs/D6qdlyF8/lve3qEZfNOXuuhgNhRhpYLKrjPb3249ONRKjcbTNynI8OMABDnCAAxzgAAc4wIHLOyDEuHCIUd3gM7lvxaVHYgzcYyOeTIMd/SSk2GedNISIZbfCiKS86p4U6ZSQ9oiQartlyMt7RqxC/jwPeXc6ysiTReL+B+u9YxRE3H77tfPUkTgq44iRGCUv98S42SFt2+5c/uJtnxhzgAMc4AAHOMABDtyjA0KMS4QYY08HGQ0xintcNE8nqW4Amtzgc2vbnntiFDfVTJ6MkuVJgFIEC+WUkM6yMnCogoVmukY1bSQ+irXshMcni5SvI2X0ddbLIKGeipJl9VSR+qJTT1OJ970owoju41C39r+ZrjJe7+qkrkZzxGM55EQvR17EaSTPXobv33wevj44xNgxmuTokMVF+5C2tC5fOMABDnCAAxzgAAc4MH8HhBiXCDH2mC7ydCfP8R36p6vzGU60wfDmDGWno0763hf73oQu2/sbHEHSV5ZlRnNwgAMc4AAHOMABDnCAA3fsgBDj7kKM+MjR7Rtjzjqk2OMkLkd49I0S2WPbo9mUoyyGWZcjTEYCjqP3e8ljUrYfmhzgAAc4wAEOcIADHODAEzkgxLjHEKOQbcfogNvsPO+Y1nGBk7AITuI0mW2mxVSYvmk526M1tre1DiYc4AAHOMABDnCAAxzgwP05IMQ4d4hxgY6wE/P+Tkxtrs05wAEOcIADHOAABzjAAQ5sOyDEEGIYBiV44gAHOMABDnCAAxzgAAc4wIFZOCDEEGLMQlQJ5HYCiQkmHOAABzjAAQ5wgAMc4MC9OSDEEGIIMSSuHOAABzjAAQ5wgAMc4AAHODALB4QYUwwxPizDIs9CtlxdTqL/zEP2bhkeuydq+TSNLGTXfopHtx4HfC6fOpJlIcuysHj9OMJs+Maen958Hr5+9jL8eMB+m8TzfXh49iys3nzc2vfOG3t+48aeDUcpOhYc4AAHOMABDnCAAxzgwLgDQoxbCzEe8pC96gkn0s75p2VYfLMIy089cswwxIgneREYjIUYZdgxEM5cKsRY73rE6l8X/WFS2l7eb4VDsc299pzDfOELBzjAAQ5wgAMc4MANOyDEmGKIcYpwO0OMx7B8l4XFX8dGLMyzYzQaYhSPlB15nGkZYnz2Zfh0FPtqJMbDtwPcdjzOdvVwm+0hYBjw4SjHlMUnDnCAAxzgAAc4wAEOFA4IMc4dYhQhwnIVHt8uQlZMCcmzsHibBAYxZIhTRjrTRlbLaput7YqOz1jZaXn1fqv9d6YrDE0jWa9DOVJhZFrG4+tFOWWjmLZR/M/f1SdRX0DQXRZHeNTbbqarlMs7dSyOtdPxb++7Z/26/v0jMYankYxfCD+G7z/7PHz/oQopvn727MgpJzv2X46M6T+m8fq5iOHDAQ5wgAMc4AAHOMABDtyXA0KMS4QYaTBRhguLsPxQi1UEEWXIUHdau9/Xf6UtwoxW+BFDjLTssqxO5zeGJHU53RN6n7/6945oGAobyv2sQp6GGut1KEOHzdSN7vfV5ypwKN4vwvKnzomXhhidQKQs+/n2lJneehf1G617Z78tbkWIUQQXRZBRrffj75+Fr3///uDhaW0e3X1Wo2Py/+wu97nrr8+c4AAHOMABDnCAAxzgwH07IMS4RIjRuifFY1i+ykL+UItWBg9JqLHufF93ogdDjFbZq5DnaVn1aI3WOqng+3WWe8OAeiTFZvRFq7PfDS2KkQdNMNEbOmxCimTdJGxIO/1Ffdr77Q8+eutd1HOzr5TFPu+rEKM1TeTbl+HrY6ad7KjDPuGSi/U+bWYdnnCAAxzgAAc4wAEOcOCWHRBiXCnE2Iyq2DFSIsp2mRBjFfJvsrDrL/6jYUCcDtIdCZEEEOXIh+T7NJCIx5cGCzGkeHydh/xFXo7KKLapRmpUUzHiFJbmtQlJYplD9e4NUTohTCyj/ToQYhzzFJOUT8++H4sbfD5c8Gk0PftsH6sLPR4c4AAHOMABDnCAAxzgwPQdEGJcKcRojcQYHCnRCHOZEOOEkRidTnARGGRJULEuRpQ8r0ZMNAFEdTx9IUK6rFp/FZbP87D6aRny14/l/Tmq0RdNubsuKEMhRhqY7Cqj/f1AiGEkxsHTadpcG88tx4IDHOAABzjAAQ5wgAMcOMQBIcaFQ4zqBp/JfSsuPRJj4B4bUYp9pi0MhgFJkJGGELHsVhiRrFvdkyKdEtK+R0a13TLk5T00ViF/noe8Ox1l5Mkicf+D9d4xCiJuv/3aDTGqG3yu3nw8uBNf8trcI6R7kdovXNquX7ccnzHiAAc4wAEOcIADHOAAB27bASHGJUKMsaeDjIYYxT0umqeTVDcATW7wubVtzz0xiptqJk9GyfIkQCmCheLpJN90lpWBQxUsNNM1qieQxKd9lJ3wOJWkfB0po6+zXgYJVZnFPmK55QWmvHFnE3KUozw6ocXW/jejQMbrXV3AqtEcrX2mIcvg+yrEqJ5KUtzg81k4JsBIR6n0XlA9neTgUKiX42A73vZFHAvtywEOcIADHOAABzhwTw4IMS4RYuwxXeTpJKv+6r/4a/LY13vo/JVBSV/wMnbB647EGFt35Ds39RRS3MM55hh5zgEOcIADHOAABzhwBQeEGHcXYqzDuvzL/yIsP410vK8g37WDnHKER98okcFjPUOIUY5A2b4JaTz28oae77YfFxu/93pfjmpv7c0BDnCAAxzgAAc4wIFxB4QY9xhiFJ32YlrJ3XWe979JaHXhOD3EKIKT9uNh0xOyeFrMoaND0u29d4HnAAc4wAEOcIADHOAAB+7LASHGuUOMwb/q35dYLiTamwMc4AAHOMABDnCAAxzgAAfO7YAQQ4hh3pbgiQMc4AAHOMABDnCAAxzgAAdm4YAQQ4gxC1HPnd4pTyLMAQ5wgAMc4AAHOMABDnBgfg4IMYQYQgyJKwc4wAEOcIADHOAABzjAAQ7MwgEhhhBjFqJKSOeXkGozbcYBDnCAAxzgAAc4wAEOnNsBIcaRIcYPP/wQfvnlFwGAtJIDHOAABzjAAQ5wgAMc4AAHOHAFB4o+eNEX7/v3j9/809bibGvJHS/4+eefS3hFCuQ/BhzgAAc4wAEOcIADHOAABzjAgcs6UAQYRV+8758Qo4+KZQgggAACCCCAAAIIIIAAAgggMDkCQozJNYkKIYAAAggggAACCCCAAAIIIIBAHwEhRh8VyxBAAAEEEEAAAQQQQAABBBBAYHIEhBiTaxIVQgABBBBAAAEEEEAAAQQQQACBPgJCjD4qliGAAAIIIIAAAggggAACCCCAwOQICDEm1yQqhAACCCCAAAIIIIAAAggggAACfQSEGH1ULEMAAQQQQAABBBBAAAEEEEAAgckREGJMrklUCAEEEEAAAQQQQAABBBBAAAEE+ggIMfqoWIYAAggggAACCCCAAAIIIIAAApMjIMSYXJOoEAIIIIAAAggggAACCCCAAAII9BEQYvRRsQwBBBBAAAEEEEAAAQQQQAABBCZHQIhxbJO8/yJkWdbz/4vw3bFl2g4BBBBAAAEEEEAAAQQQQAABBAYJCDEG0ez7xafw1W+z8PzNp303sB4CCCCAAAIIIIAAAggggAACCBxBQIhxBLT2JkMhRrX8i/chfPcyjth4Hr76WG9djOT47VehiT6+C19kyfeh2n4z2uOl8R1t7j4hgAACCCCAAAIIIIAAAgjcGwEhxsktPh5iFCFEHKVRhhkxjNgRYrTWrQONWM7JVVYAAggggAACCCCAAAIIIIAAAjMkIMQ4udF2hBgxtCj2kwYX6fuyDulIjOJ9594aW+ufXHEFIIAAAggggAACCCCAAAIIIDArAkKMk5trPMQoppP0/tsKJZIQ4+NX4XnfTUNb0096S7UQAQQQQAABBBBAAAEEEEAAgZslIMQ4uWkvFWJ0RmKcXE8FIIAAAggggAACCCCAAAIIIDBvAkKMk9vvhBBjM2WkKiPb3Niz/pxORTm5ngpAAAEEEEAAAQQQQAABBBBAYN4EhBgnt9+RIUZIn1qShS/eJ9NJyjrFYCM+2aS5QejJVVYAAggggAACCCCAAAIIIIAAAjMkIMSYYaOpMgIIIIAAAggggAACCCCAAAL3SECIcY+t7pgRQAABBBBAAAEEEEAAAQQQmCEBIcYMG02VEUAAAQQQQAABBBBAAAEEELhHAkKMe2x1x4wAAggggAACCCCAAAIIIIDADAkIMWbYaKqMAAIIIIAAAggggAACCCCAwD0SEGLcY6s7ZgQQQAABBBBAAAEEEEAAAQRmSECIMcNGU2UEEEAAAQQQQAABBBBAAAEE7pGAEOPJWv278EWWhaz8/zx89fHJKmLHCCCAAAIIIIAAAggggAACCMyCgBDjhGb69OZ5HULEMCILz998OrDEIswQYhwIzeoIIIAAAggggAACCCCAAAJ3SECIcUKjlyHGy+9OKKHYVIhxIkCbI4AAAggggAACCCCAAAII3AkBIcYJDb07xEinjGQh6w08hkKMT+Gr3zYjPLLsi9COS9plHz4C5IQDtykCCCCAAAIIIIAAAggggAACT0BAiHEC9F0hxncv0+ChCh2+eN/dYX+IMV52FXA0wcVQ2d19+YwAAggggAACCCCAAAIIIIDAfAkIMU5ouzJo2Nycsxo1sR1SNDv47mXfPTNGQoyt0Rd1WR+/Cs9/+1VI774xHno0dfAOAQQQQAABBBBAAAEEEEAAgbkSEGKc0HI7g4P3X+xx48/+EKOoVhF6VE8v6YQfPeWW6/VOVznhAG2KAAIIIIAAAggggAACCCCAwIQICDFOaIzREKMYLZFlIR2ZcchIjHa1qukim+kjRYjRGYnRXt8nBBBAAAEEEEAAAQQQQAABBG6PgBDjhDbdHWIkj06tR09sgojNfodHYmxWCf33wNguq9nCOwQQQAABBBBAAAEEEEAAAQRujYAQ44QWHQ0xOtNBipETX6X3xOidEhJDj+6TSfqebFKNzojTTYrXdNTHCYdlUwQQQAABBBBAAAEEEEAAAQQmSUCIMclmUSkEEEAAAQQQQAABBBBAAAEEEOgSEGJ0ifiMAAIIIIAAAggggAACCCCAAAKTJCDEmGSzqBQCCCCAAAIIIIAAAggggAACCHQJCDG6RHxGAAEEEEAAAQQQQAABBBBAAIFJEhBiTLJZVAoBBBBAAAEEEEAAAQQQQAABBLoEhBhdIj4jgAACCCCAAAIIIIAAAggggMAkCQgxJtksKoUAAggggAACCCCAAAIIIIAAAl0CQowuEZ8RQAABBBBAAAEEEEAAAQQQQGCSBIQYk2wWlUIAAQQQQAABBBBAAAEEEEAAgS4BIUaXiM8IIIAAAggggAACCCCAAAIIIDBJAkKMSTaLSiGAAAIIIIAAAggggAACCCCAQJeAEKNLxGcEEEAAAQQQQAABBBBAAAEEEJgkASHGJJtFpRBAAAEEEEAAAQQQQAABBBBAoEtAiNEl4jMCCCCAAAIIIIAAAggggAACCEySgBBjks2iUggggAACCCCAAAIIIIAAAggg0CUgxOgS8RkBBBBAAAEEEEAAAQQQQAABBCZH4MP/PIZ/efe7rXplRbLhPwYc4AAHOMABDnCAAxzgAAc4wAEOTMWBIsD49r/eb4cYW0ssQAABBBBAAAEEEEAAAQQQQAABBCZIIJtgnVQJAQQQQAABBBBAAAEEEEAAAQQQ2CIgxNhCYgECCCCAAAIIIIAAAggggAACCEyRgBBjiq2iTggggAACCCCAAAIIIIAAAgggsEVAiLGFxAIEEEAAAQQQQAABBBBAAAEEEJgiASHGFFtFnRBAAAEEEEAAAQQQQAABBBBAYIvA/wMBaZbmiCalIQAAAABJRU5ErkJggg=="
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "2.2 Write a Python function which takes a character (i.e. a string of length 1) and returns True if it is a vowel, False otherwise.\n",
    "\n",
    "![image.png](attachment:image.png)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "True\n",
      "False\n"
     ]
    }
   ],
   "source": [
    "def isvowel(c):\n",
    "    if c in ['a', 'e', 'i', 'o', 'u', 'A', 'E', 'I', 'O', 'U']:\n",
    "        return True\n",
    "    else:\n",
    "        return False\n",
    "    \n",
    "print(isvowel('a'))\n",
    "print(isvowel('p'))"
   ]
  }
 ],
 "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": "3.7.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}