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May 4, 2021 09:19
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{ | |
"cells": [ | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"<center>\n", | |
" <img src=\"https://cf-courses-data.s3.us.cloud-object-storage.appdomain.cloud/IBMDeveloperSkillsNetwork-PY0101EN-SkillsNetwork/IDSNlogo.png\" width=\"300\" alt=\"cognitiveclass.ai logo\" />\n", | |
"</center>\n" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"<h3 align=center>Create a Tuple</h3>\n" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"create the Tuple <code> (0,1,2,3) </code> and assign it to the variable <code> A </code>:\n" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 3, | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"name": "stdout", | |
"output_type": "stream", | |
"text": [ | |
"(0, 1, 2, 3)\n" | |
] | |
} | |
], | |
"source": [ | |
"A = (0,1,2,3)\n", | |
"print(A)" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"<details><summary>Click here for the solution</summary>\n", | |
"\n", | |
"```python\n", | |
"A = (0,1,2,3)\n", | |
"print(A)\n", | |
"```\n", | |
"\n", | |
"</details>\n" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"<h3 align=center>Find the elements of a Tuple</h3> \n" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"Find the first two elements of the Tuple <code> A </code>:\n" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 4, | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"data": { | |
"text/plain": [ | |
"(0, 1)" | |
] | |
}, | |
"execution_count": 4, | |
"metadata": {}, | |
"output_type": "execute_result" | |
} | |
], | |
"source": [ | |
"A[0:2]" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"<details><summary>Click here for the solution</summary>\n", | |
"\n", | |
"```python\n", | |
"A[0:2]\n", | |
"```\n", | |
"\n", | |
"</details>\n" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"<h3 align=center>Lists </h3> \n" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"For the next few questions, you will need the following list:\n" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 8, | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"name": "stdout", | |
"output_type": "stream", | |
"text": [ | |
"['a', 'b', 'c']\n" | |
] | |
} | |
], | |
"source": [ | |
"B=[\"a\",\"b\",\"c\"]\n", | |
"print(B)" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"Find the first two elements of the list <code> B</code>:\n" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 9, | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"data": { | |
"text/plain": [ | |
"['a', 'b']" | |
] | |
}, | |
"execution_count": 9, | |
"metadata": {}, | |
"output_type": "execute_result" | |
} | |
], | |
"source": [ | |
"B[0:2]" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"<details><summary>Click here for the solution</summary>\n", | |
"\n", | |
"```python\n", | |
"B[0:2]\n", | |
"```\n", | |
"\n", | |
"</details>\n" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"Change the first element of the list to an uppercase <code> \"A\" </code> \n" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 10, | |
"metadata": {}, | |
"outputs": [], | |
"source": [ | |
"B[0]='A'" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"<details><summary>Click here for the solution</summary>\n", | |
"\n", | |
"```python\n", | |
"B[0] = 'A'\n", | |
"print(B)\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": "3.6.13" | |
} | |
}, | |
"nbformat": 4, | |
"nbformat_minor": 4 | |
} |
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