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@Nat-Gr
Created June 26, 2020 20:53
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Created on Skills Network Labs
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{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"<h3 align=center>Hello World</h3>"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Find the type of the following using the <code>type</code> command:"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"str"
]
},
"execution_count": 1,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"type(\"Hello World\")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"<h3 align=center>Type casting </h3> "
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Find the type of the following using the <code>type</code> command:"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"str"
]
},
"execution_count": 2,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"type(\"1.1\")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"<h3 align=center>Is a Number Always a Number \n",
"</h3> "
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Cast the following to a <code>int</code> then to a <code>bool</code>"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {
"collapsed": false,
"jupyter": {
"outputs_hidden": false
}
},
"outputs": [
{
"data": {
"text/plain": [
"True"
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"bool(int(\"1\"))"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"<hr>\n",
"<small>Copyright &copy; 2018 IBM Cognitive Class. This notebook and its source code are released under the terms of the [MIT License](https://cognitiveclass.ai/mit-license/).</small>"
]
}
],
"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": "3.6.10"
}
},
"nbformat": 4,
"nbformat_minor": 4
}
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