Day62 - Python Usecases Interview Questions.ipynb

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   "source": [
    "# **Python Usecases Interview Questions**"
   ]
  },
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   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "`1.Given two lists, write a function that returns the elements that are common to both lists.`"
   ]
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       "[3, 4, 5]"
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   "source": [
    "# given lists \n",
    "l1 = [1, 2, 3, 4, 5]\n",
    "l2 = [3, 4, 5, 6, 7]\n",
    "\n",
    "# function for the commmon elements\n",
    "def find_common_element(list1,list2):\n",
    "    common_element = list(set(list1) & set(list2))\n",
    "    return common_element\n",
    "\n",
    "find_common_element(l1,l2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "`2. Write a Python function to merge two dictionaries. If both dictionaries have the same key, prefer the second dictionary's value.`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'a': 1, 'b': 3, 'c': 4}\n"
     ]
    }
   ],
   "source": [
    "# function \n",
    "def merge_two_dictionaries(dict1,dict2):\n",
    "    merged = dict1.copy()\n",
    "    merged.update(dict2)\n",
    "    return merged\n",
    "\n",
    "dict1 = {'a': 1, 'b': 2}\n",
    "dict2 = {'b': 3, 'c': 4}\n",
    "print(merge_two_dictionaries(dict1, dict2))    "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "`3.Given a list of numbers, write a function to compute the mean, median, and mode.`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'mean': 3.888888888888889, 'median': 4, 'mode': 5}\n"
     ]
    }
   ],
   "source": [
    "# list\n",
    "numbers = [1, 2, 3, 4, 4, 5, 5, 5, 6]\n",
    "\n",
    "from statistics import mean, median, mode\n",
    "def central_measures(numbers):\n",
    "    return {\n",
    "        'mean': mean(numbers),\n",
    "        'median': median(numbers),\n",
    "        'mode': mode(numbers)    \n",
    "    }\n",
    "    \n",
    "print(central_measures(numbers))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "`4.Write a function to check if a given string is a palindrome.`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "True\n"
     ]
    }
   ],
   "source": [
    "def is_palindrome(s):\n",
    "    return s == s[::-1]\n",
    "\n",
    "string = \"radar\"\n",
    "print(is_palindrome(string))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "`5.Write a function to compute the factorial of a number using iteration.`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "120\n"
     ]
    }
   ],
   "source": [
    "def factorial_iterative(n):\n",
    "    result = 1\n",
    "    for i in range(2, n+1):\n",
    "        result *= i\n",
    "    return result\n",
    "\n",
    "number = 5\n",
    "print(factorial_iterative(number)) \n"
   ]
  }
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