Skip to content

Completed Assignment 1 #372

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Closed
anjshasayed wants to merge 2 commits into from
Closed

Completed Assignment 1 #372

Changes from all commits
Commits
Show all changes
2 commits
Select commit Hold shift + click to select a range
1ba6212
Completed Assignment 1
Apr 16, 2026
311a345
Updated notebook
Apr 20, 2026
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
283 changes: 283 additions & 0 deletions 02_activities/assignments-1/assignment_1.ipynb
View file
Open in desktop
Original file line number Diff line number Diff line change
@@ -0,0 +1,283 @@
{
"cells": [
{
"cell_type": "code",
"execution_count": 3,
"id": "dd6fa0eb",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"True"
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"def anagram_checker(word_a, word_b):\n",
" # Normalize both words to lowercase\n",
" word_a = word_a.lower()\n",
" word_b = word_b.lower()\n",
" \n",
" # Sort the characters and compare\n",
" return sorted(word_a) == sorted(word_b)\n",
"\n",
"# Test cases\n",
"anagram_checker(\"Silent\", \"listen\") # True\n",
"anagram_checker(\"Silent\", \"Night\") # False\n",
"anagram_checker(\"night\", \"Thing\") # True\n"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "7fc5e590",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"False"
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"def anagram_checker(word_a, word_b, is_case_sensitive):\n",
" # If case sensitivity is off, normalize both words\n",
" if not is_case_sensitive:\n",
" word_a = word_a.lower()\n",
" word_b = word_b.lower()\n",
" \n",
" # Compare sorted characters\n",
" return sorted(word_a) == sorted(word_b)\n",
"\n",
"# Test cases\n",
"anagram_checker(\"Silent\", \"listen\", False) # True\n",
"anagram_checker(\"Silent\", \"listen\", True) # False\n",
"anagram_checker(\"Silent\", \"Listen\", True) # False\n"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "87db8faf",
"metadata": {},
"outputs": [],
"source": [
"def anagram_checker(word_a, word_b):\n",
" # Normalize both words to lowercase\n",
" word_a = word_a.lower()\n",
" word_b = word_b.lower()\n",
"\n",
" # Sort the characters and compare\n",
" return sorted(word_a) == sorted(word_b)\n"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "6ec77e32",
"metadata": {},
"outputs": [],
"source": [
"def anagram_checker(word_a, word_b, is_case_sensitive):\n",
" if not is_case_sensitive:\n",
" word_a = word_a.lower()\n",
" word_b = word_b.lower()\n",
" return sorted(word_a) == sorted(word_b)\n"
]
},
{
"cell_type": "code",
"execution_count": 11,
"id": "1100c036",
"metadata": {},
"outputs": [],
"source": [
"def anagram_checker(word_a, word_b):\n",
" word_a = word_a.lower()\n",
" word_b = word_b.lower()\n",
" return sorted(word_a) == sorted(word_b)\n"
]
},
{
"cell_type": "code",
"execution_count": 12,
"id": "f79fc753",
"metadata": {},
"outputs": [],
"source": [
"def anagram_checker(word_a, word_b, is_case_sensitive):\n",
" if not is_case_sensitive:\n",
" word_a = word_a.lower()\n",
" word_b = word_b.lower()\n",
" return sorted(word_a) == sorted(word_b)\n"
]
},
{
"cell_type": "code",
"execution_count": 13,
"id": "1ea02857",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"True"
]
},
"execution_count": 13,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"anagram_checker(\"Silent\", \"listen\", False)\n",
"anagram_checker(\"Silent\", \"Night\", False)\n",
"anagram_checker(\"night\", \"Thing\", False)\n"
]
},
{
"cell_type": "code",
"execution_count": 14,
"id": "35ac138b",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"False"
]
},
"execution_count": 14,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"anagram_checker(\"Silent\", \"listen\", False)\n",
"anagram_checker(\"Silent\", \"listen\", True)\n",
"anagram_checker(\"Silent\", \"Listen\", True)\n"
]
},
{
"cell_type": "code",
"execution_count": 15,
"id": "b658d536",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"True"
]
},
"execution_count": 15,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"anagram_checker(\"Silent\", \"listen\", False)\n",
"anagram_checker(\"Silent\", \"Night\", False)\n",
"anagram_checker(\"night\", \"Thing\", False)\n"
]
},
{
"cell_type": "code",
"execution_count": 16,
"id": "8f94a366",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"False"
]
},
"execution_count": 16,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"anagram_checker(\"Silent\", \"listen\", False) # True\n",
"anagram_checker(\"Silent\", \"listen\", True) # False\n",
"anagram_checker(\"Silent\", \"Listen\", True) # False\n"
]
},
{
"cell_type": "code",
"execution_count": 17,
"id": "cfd90e8d",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"True\n",
"False\n",
"True\n"
]
}
],
"source": [
"print(anagram_checker(\"Silent\", \"listen\", False))\n",
"print(anagram_checker(\"Silent\", \"Night\", False))\n",
"print(anagram_checker(\"night\", \"Thing\", False))\n"
]
},
{
"cell_type": "code",
"execution_count": 18,
"id": "88d61a3c",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"True\n",
"False\n",
"False\n"
]
}
],
"source": [
"print(anagram_checker(\"Silent\", \"listen\", False)) # True\n",
"print(anagram_checker(\"Silent\", \"listen\", True)) # False\n",
"print(anagram_checker(\"Silent\", \"Listen\", True)) # False\n"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "python-env",
"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": "3.11.15"
}
},
"nbformat": 4,
"nbformat_minor": 5
}