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Created on Skills Network Labs
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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>Slicing </h3>\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Use slicing to find the first four elements of the following string:\n"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"'ABCD'"
]
},
"execution_count": 2,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"Letters=\"ABCDEFGHIJK\"\n",
"Letters[0:4]"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"<h3 align=center>Strides are Good </h3> \n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Use a stride value of two on the following string :\n"
]
},
{
"cell_type": "code",
"execution_count": 18,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"'Good'"
]
},
"execution_count": 18,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"Good=\"GsoAo+d\"\n",
"Good[::2]\n",
"\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"<h3 align=center>uppercase to UPPERCASE </h3> \n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Convert the following string to uppercase using the method <code>upper()</code>\n"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"'UPPERCASE'"
]
},
"execution_count": 11,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"\"uppercase\".upper()"
]
},
{
"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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