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@myjourneywithdata
Created November 4, 2020 11:36
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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>Hello World</h3>\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Let's say Hello to the world with a <code>PRINT</code> statement. E.g. <code>print(\"Hello World\")</code>\n"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Aum Namah Shivaya\n",
"Hello World!\n"
]
}
],
"source": [
"print(\"Aum Namah Shivaya\")\n",
"print(\"Hello World!\")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"<h3 align=center>Say Hello World on two lines</h3> \n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Let's print Hello and World on two separate lines. Hint: \\\\n in the middle of the string acts as a new line character. E.g. <code>print(\"line 1\\\\nline 2\")</code>\n"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"line 1\n",
"line 2\n"
]
}
],
"source": [
"print(\"line 1\\nline 2\")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"<h3 align=center>Comments are key to good coding</h3> \n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"In python, comments are created by putting a hash mark <code>#</code> in front of the text of the comment. E.g. <code># this is a comment</code>\n"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [],
"source": [
"# I love everyone"
]
},
{
"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": "3.6.11"
}
},
"nbformat": 4,
"nbformat_minor": 4
}
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