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Assignment #1

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bdf47cf
LV Class 1 work
Apr 19, 2026
93a3083
"Luissa completed Assignment 1 (python), v1"
Apr 20, 2026
2405e32
Luissa complete assignment 1 (python), v5
Apr 20, 2026
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163 changes: 147 additions & 16 deletions 02_activities/assignments/assignment_1.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -54,36 +54,128 @@
"```"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Explaining my reasoning\n",
"\n",
"Anagrams are word or phrase formed by rearranging the letters of a different word or phrase, using all the original letters exactly once.\n",
"\n",
"To identify whether two words are anagrams, I *first* make sure all letters within words are lowercase and I remove any spaces. *Second*, I sort the letters in alphabetical order. If two words are anagrams, when sorted they should be identical."
]
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 28,
"metadata": {},
"outputs": [],
"outputs": [
{
"data": {
"text/plain": [
"True"
]
},
"execution_count": 28,
"metadata": {},
"output_type": "execute_result"
}
],
"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",
" The anagram_checker will check whether two words specified by the user are anagrams. \\nThe words dont need to be case sensitive.\\nThe function will return true if the words are anagrams.\n",
" \"\"\"\n",
" \n",
" word_a_edited = word_a.lower().replace(\" \", \"\")\n",
" word_b_edited = word_b.lower().replace(\" \", \"\")\n",
" \n",
" return sorted(word_a_edited) == sorted(word_b_edited)\n",
" \n",
"\n",
"# Run your code to check using the words below:\n",
"anagram_checker(\"Silent\", \"listen\")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Testing the logic of my function\n",
"\n",
"Here I use the same logic as in the function above to test whether it works using two makde up words. I can confirm the function is correct based on this check"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Help on function anagram_checker in module __main__:\n",
"\n",
"anagram_checker(word_a, word_b)\n",
" The anagram_checker will check whether two words specified by the user are anagrams. \n",
" The words dont need to be case sensitive.\n",
" The function will return true if the words are anagrams.\n",
"\n"
]
}
],
"source": [
"anagram_checker(\"Silent\", \"Night\")"
"word_a_test=\"Ocean\"\n",
"word_b_test=\"Water\"\n",
"\n",
"word_a_edited_test = word_a_test.lower().replace(\" \", \"\")\n",
"word_b_edited_test = word_b_test.lower().replace(\" \", \"\")\n",
"\n",
"sorted(word_a_edited_test) == sorted(word_b_edited_test)\n",
"\n",
"help(anagram_checker) # Testing the documentation of the function\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"outputs": [
{
"data": {
"text/plain": [
"False"
]
},
"execution_count": 25,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"anagram_checker(\"night\", \"Thing\")"
"anagram_checker(\"Silent\", \"Night\") # Confimed correct"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"True"
]
},
"execution_count": 26,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"anagram_checker(\"night\", \"Thing\") # Confimed correct"
]
},
{
Expand All @@ -97,12 +189,27 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 35,
"metadata": {},
"outputs": [],
"outputs": [
{
"data": {
"text/plain": [
"True"
]
},
"execution_count": 35,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"def anagram_checker(word_a, word_b, is_case_sensitive):\n",
" # Modify your existing code here\n",
" if is_case_sensitive==True: return sorted(word_a) == sorted(word_b)\n",
"\n",
" else : word_a_edited = word_a.lower().replace(\" \", \"\")\n",
" word_b_edited = word_b.lower().replace(\" \", \"\")\n",
" return sorted(word_a_edited) == sorted(word_b_edited)\n",
"\n",
"# Run your code to check using the words below:\n",
"anagram_checker(\"Silent\", \"listen\", False) # True"
Expand All @@ -112,16 +219,40 @@
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"outputs": [
{
"data": {
"text/plain": [
"False"
]
},
"execution_count": 36,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"anagram_checker(\"Silent\", \"listen\", True) # False"
"anagram_checker(\"Silent\", \"listen\", True) # False\n",
"\n",
"# I am confused as to why the parameter is True. Clearly \"Silent\" and \"listen\" are not case sensitive."

@monzchan monzchan Apr 21, 2026

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you put True here in "anagram_checker("Silent", "listen", True)" is actually meaning that you want the logics to consider case sensitivity. And since it is case sensitivity, the outcome is False - capital S for Silent and small s for listen.

@LuissaVahedi LuissaVahedi Apr 21, 2026

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Ok, I understand now. That was not clear from the question stem but I understand the logic now. I assume that I dont need to change anyting for this assignment?

]
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 37,
"metadata": {},
"outputs": [],
"outputs": [
{
"data": {
"text/plain": [
"False"
]
},
"execution_count": 37,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"anagram_checker(\"Silent\", \"Listen\", True) # False"
]
Expand All @@ -139,7 +270,7 @@
],
"metadata": {
"kernelspec": {
"display_name": "new-learner",
"display_name": "python-env",
"language": "python",
"name": "python3"
},
Expand All @@ -153,7 +284,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.11.8"
"version": "3.11.15"
}
},
"nbformat": 4,
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