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March 13, 2022 09:31
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Coursera assignment
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{ | |
"cells": [ | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"<h1>My Jupyter Notebook on IBM Watson Studio</h1>" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"<b>Ankit Bora</b><br>\n", | |
"Future Data Scientist" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"<i>Data Science is the coolest carreer one can be.<br>I am interested in this field is because I can play with so much data and make some cool models which can help many business aspects</i>" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"<h3>Its a simple code for printing the numbers between the set range</h3>" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 4, | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"name": "stdout", | |
"output_type": "stream", | |
"text": [ | |
"20\n", | |
"21\n", | |
"22\n", | |
"23\n", | |
"24\n", | |
"25\n", | |
"26\n", | |
"27\n", | |
"28\n", | |
"29\n" | |
] | |
} | |
], | |
"source": [ | |
"def printValues(n,m):\n", | |
" for i in range(n,m):\n", | |
" print(i)\n", | |
"\n", | |
"printValues(20,30)" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"<ol><p>Numbered list</p>\n", | |
" <li>first</li>\n", | |
" <li>second</li>\n", | |
" <li>third</li>\n", | |
"</ol>\n", | |
"\n", | |
"***\n", | |
"\n", | |
"<ul><p>Bulleted list</p>\n", | |
" <li>first</li>\n", | |
" <li>second</li>\n", | |
" <li>third</li>\n", | |
"</ul>\n", | |
"<a href=\"https://www.coursera.org\">visit Coursera</a>" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": null, | |
"metadata": {}, | |
"outputs": [], | |
"source": [] | |
} | |
], | |
"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": "3.7.4" | |
} | |
}, | |
"nbformat": 4, | |
"nbformat_minor": 2 | |
} |
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