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TITLE: UofT-DSI | Python - Final Submission (Assignments 2) #317

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TITLE: UofT-DSI | Python - Final Submission (Assignments 2) #317

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2759e8e
Submit Assignment 1
Sean-urxion Dec 2, 2025
46f81ec
Applied professor feedback: updated Part 1 & 2 logic
Sean-urxion Dec 4, 2025
871e326
Complete Assignment 2: patient inflammation analysis
Sean-urxion Dec 8, 2025
1d015bd
Final Submission - Assignment 2 (Consolidated & Clean)
Sean-urxion Dec 12, 2025
527c8cd
Merge branch 'assignment-2' of https://github.com/1SeanBrennan1/pytho…
Sean-urxion Dec 12, 2025
5a4f96e
Fixed Q3: Implemented loop to scan all files and detect errors
Sean-urxion Dec 12, 2025
6e44c6f
Fixed Q2 output to print arrays
Sean-urxion Dec 12, 2025
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101 changes: 86 additions & 15 deletions 02_activities/assignments/assignment_1.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -56,32 +56,71 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 1,
"metadata": {},
"outputs": [],
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"True\n",
"False\n"
]
}
],
"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",
" # Force lowercase for Part 1 as per instructions\n",
" word_a = word_a.lower()\n",
" word_b = word_b.lower()\n",
"\n",
" return sorted(word_a) == sorted(word_b)\n",
"# Run your code to check using the words below:\n",
"anagram_checker(\"Silent\", \"listen\")"
"anagram_checker(\"Silent\", \"listen\")\n",
"\n",
"# Testing Part 1\n",
"print(anagram_checker(\"Silent\", \"listen\")) # Expected: True\n",
"print(anagram_checker(\"Silent\", \"Night\")) # Expected: False"
]
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 2,
"metadata": {},
"outputs": [],
"outputs": [
{
"data": {
"text/plain": [
"False"
]
},
"execution_count": 2,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"anagram_checker(\"Silent\", \"Night\")"
]
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 3,
"metadata": {},
"outputs": [],
"outputs": [
{
"data": {
"text/plain": [
"True"
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"anagram_checker(\"night\", \"Thing\")"
]
Expand All @@ -97,22 +136,54 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 4,
"metadata": {},
"outputs": [],
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"True\n",
"False\n",
"True\n"
]
}
],
"source": [
"def anagram_checker(word_a, word_b, is_case_sensitive):\n",
" # Modify your existing code here\n",
" \"\"\"\n",
" Checks if word_a and word_b are anagrams.\n",
" If is_case_sensitive is False, it ignores capitalization.\n",
" \"\"\"\n",
" # Using 'if not' is cleaner and more \"Pythonic\"\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",
"\n",
"# Run your code to check using the words below:\n",
"anagram_checker(\"Silent\", \"listen\", False) # True"
"anagram_checker(\"Silent\", \"listen\", False) # True\n",
"print(anagram_checker(\"Silent\", \"listen\", False)) # Expected: True\n",
"print(anagram_checker(\"Silent\", \"Night\", False)) # Expected: False\n",
"print(anagram_checker(\"night\", \"Thing\", False)) # Expected: True"
]
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 5,
"metadata": {},
"outputs": [],
"outputs": [
{
"data": {
"text/plain": [
"False"
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"anagram_checker(\"Silent\", \"Listen\", True) # False"
]
Expand All @@ -130,7 +201,7 @@
],
"metadata": {
"kernelspec": {
"display_name": "new-learner",
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
Expand All @@ -144,7 +215,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.11.8"
"version": "3.11.3"
}
},
"nbformat": 4,
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