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February 24, 2021 03:33
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{ | |
"cells": [ | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"<center>\n", | |
" <img src=\"https://s3-api.us-geo.objectstorage.softlayer.net/cf-courses-data/CognitiveClass/Logos/organization_logo/organization_logo.png\" width=\"300\" alt=\"cognitiveclass.ai logo\" />\n", | |
"</center>\n" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"<h3 align=center>List to Set </h3>\n" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"Cast the following list to a set:\n" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 5, | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"data": { | |
"text/plain": [ | |
"{'A', 'B', 'C'}" | |
] | |
}, | |
"execution_count": 5, | |
"metadata": {}, | |
"output_type": "execute_result" | |
} | |
], | |
"source": [ | |
"set (['A','B','C','A','B','C'])\n", | |
"\n", | |
"\n" | |
] | |
}, | |
{ | |
"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" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"Add the string <code>'D'</code> to the set S\n" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 7, | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"name": "stdout", | |
"output_type": "stream", | |
"text": [ | |
"{'B', 'C', 'A', 'D'}\n" | |
] | |
} | |
], | |
"source": [ | |
"S={'A','B','C'}\n", | |
"S.add ('D')\n", | |
"print (S)" | |
] | |
}, | |
{ | |
"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": null, | |
"metadata": {}, | |
"outputs": [], | |
"source": [ | |
"A={1,2,3,4,5}\n", | |
"B={1,3,9, 12}\n" | |
] | |
}, | |
{ | |
"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" | |
] | |
} | |
], | |
"metadata": { | |
"kernelspec": { | |
"display_name": "Python", | |
"language": "python", | |
"name": "conda-env-python-py" | |
}, | |
"language_info": { | |
"codemirror_mode": { | |
"name": "ipython", | |
"version": 3 | |
}, | |
"file_extension": ".py", | |
"mimetype": "text/x-python", | |
"name": "python", | |
"nbconvert_exporter": "python", | |
"pygments_lexer": "ipython3", | |
"version": "3.6.12" | |
} | |
}, | |
"nbformat": 4, | |
"nbformat_minor": 4 | |
} |
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