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Part 1 of assignment 1, anagram checker, not case sensitive. #1

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9b2e2e0
Part 1 of assignment 1, anagram checker, not case sensitive.
mehranedalat Aug 24, 2025
daaa0e5
Part 2 of assignment 1, anagram checker, user can select between case…
mehranedalat Aug 24, 2025
180c439
Completion of assignment 1, simplified by using of sorted function an…
mehranedalat Aug 31, 2025
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236 changes: 222 additions & 14 deletions 02_activities/assignments/assignment_1.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -56,36 +56,117 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 27,
"metadata": {},
"outputs": [],
"source": [
"# For testing purposes, we will write our code in the function\n",
"def anagram_checker(word_a, word_b):\n",
" # Your code here\n",
"\n",
"# Run your code to check using the words below:\n",
"anagram_checker(\"Silent\", \"listen\")"
" # length check\n",
" if len(word_a) != len(word_b):\n",
" return False\n",
"\n",
" # empty string \n",
" elif len(word_a) == 0:\n",
" return False\n",
"\n",
" else: \n",
" return sorted(word_a.lower()) == sorted(word_b.lower()) # Use sorted function and lower() method to have identical strings if they are anagram\n",
" \n",
" \n",
" \n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 28,
"metadata": {},
"outputs": [],
"outputs": [
{
"data": {
"text/plain": [
"False"
]
},
"execution_count": 28,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"anagram_checker(\"Silent\", \"Night\")"
]
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 29,
"metadata": {},
"outputs": [],
"outputs": [
{
"data": {
"text/plain": [
"True"
]
},
"execution_count": 29,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"anagram_checker(\"night\", \"Thing\")"
]
},
{
"cell_type": "code",
"execution_count": 30,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"True"
]
},
"execution_count": 30,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"anagram_checker(\"Listen\",\"Silent\")"
]
},
{
"cell_type": "code",
"execution_count": 31,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"True"
]
},
"execution_count": 31,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"anagram_checker(\"abcdefghi\",\"abcdefghi\")"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "markdown",
"metadata": {},
Expand All @@ -97,24 +178,151 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 33,
"metadata": {},
"outputs": [],
"source": [
"# Modified for Part 2\n",
"# For testing purposes, we will write our code in the function\n",
"def anagram_checker(word_a, word_b, is_case_sensitive):\n",
" # Modify your existing code here\n",
" # Your code here\n",
"\n",
" # length check\n",
" if len(word_a) != len(word_b):\n",
" return False\n",
"\n",
" # empty string \n",
" elif len(word_a) == 0:\n",
" return False\n",
" \n",
" elif is_case_sensitive == False: \n",
" return sorted(word_a.lower()) == sorted(word_b.lower()) # Use sorted function and lower() method to have identical strings if they are anagram\n",
" \n",
" else: \n",
" return sorted(word_a) == sorted(word_b) # Use just sorted function to have identical strings if they are anagram\n",
"\n",
" "
]
},
{
"cell_type": "code",
"execution_count": 34,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"False"
]
},
"execution_count": 34,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"anagram_checker(\"Silent\", \"Listen\", True) # False"
]
},
{
"cell_type": "code",
"execution_count": 35,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"True"
]
},
"execution_count": 35,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Run your code to check using the words below:\n",
"anagram_checker(\"Silent\", \"listen\", False) # True"
]
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 36,
"metadata": {},
"outputs": [],
"outputs": [
{
"data": {
"text/plain": [
"True"
]
},
"execution_count": 36,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"anagram_checker(\"Silent\", \"Listen\", True) # False"
"anagram_checker(\"Silent\",\"liSten\",True)"
]
},
{
"cell_type": "code",
"execution_count": 37,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"True"
]
},
"execution_count": 37,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"anagram_checker(\"AAaabcD\",\"DabaAcA\",True)"
]
},
{
"cell_type": "code",
"execution_count": 38,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"False"
]
},
"execution_count": 38,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"anagram_checker(\"AAaabcD\",\"DabaAca\",True)"
]
},
{
"cell_type": "code",
"execution_count": 39,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"True"
]
},
"execution_count": 39,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"anagram_checker(\"AAaabcD\",\"DabaAca\",False)"
]
},
{
Expand All @@ -130,7 +338,7 @@
],
"metadata": {
"kernelspec": {
"display_name": "new-learner",
"display_name": "dsi_participant",
"language": "python",
"name": "python3"
},
Expand All @@ -144,7 +352,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.11.8"
"version": "3.9.19"
}
},
"nbformat": 4,
Expand Down