Created on Skills Network Labs

PY0101EN-2.2_notebook_quizz_sets.ipynb

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    "    <img src=\"https://cf-courses-data.s3.us.cloud-object-storage.appdomain.cloud/IBMDeveloperSkillsNetwork-PY0101EN-SkillsNetwork/IDSNlogo.png\" width=\"300\" alt=\"cognitiveclass.ai logo\"  />\n",
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  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h3 align=center>List to Set </h3>\n"
   ]
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   "source": [
    "Cast the following list to a set:\n"
   ]
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   "cell_type": "code",
   "execution_count": 8,
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   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'A', 'B', 'C'}"
      ]
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     "execution_count": 8,
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     "output_type": "execute_result"
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   "source": [
    "['A','B','C','A','B','C']\n",
    "#Let L be the list. \n",
    "L=['A','B','C','A','B','C']\n",
    "set(L)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<details><summary>Click here for the solution</summary>\n",
    "\n",
    "```python\n",
    "set(['A','B','C','A','B','C'])\n",
    "\n",
    "```\n",
    "\n",
    "</details>\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h3 align=center>Add an Element to the Set</h3> \n"
   ]
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   "source": [
    "Add the string  <code>'D'</code> to the set S\n"
   ]
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  {
   "cell_type": "code",
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   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'A', 'B', 'C', 'D'}"
      ]
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     "execution_count": 3,
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   "source": [
    "S={'A','B','C'}\n",
    "S.add('D')\n",
    "S"
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   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<details><summary>Click here for the solution</summary>\n",
    "\n",
    "```python\n",
    "S.add('D')\n",
    "S\n",
    "\n",
    "```\n",
    "\n",
    "</details>\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h3 align=center>Intersection</h3> \n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Find the intersection of set <code>A</code> and <code>B</code>\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{1, 3}"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "A={1,2,3,4,5}\n",
    "B={1,3,9, 12}\n",
    "A&B"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<details><summary>Click here for the solution</summary>\n",
    "\n",
    "```python\n",
    "A & B\n",
    "\n",
    "```\n",
    "\n",
    "</details>\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<hr>\n",
    "\n",
    "<h3 align=\"center\"> © IBM Corporation 2020. All rights reserved. <h3/>\n"
   ]
  }
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