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assignment1 submission #1

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57d43cd
assignment1 submission
jhwgpwb Oct 18, 2025
bc84ee0
Assignment2
jhwgpwb Nov 1, 2025
7c9c808
Python assignment 2# Please enter the commit message for your changes…
jhwgpwb Nov 4, 2025
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146 changes: 133 additions & 13 deletions 02_activities/assignments/assignment_1.ipynb
100644 → 100755
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Original file line number Diff line number Diff line change
Expand Up @@ -9,6 +9,11 @@
"**Background**: Anagram Checker is a program that takes two words and determines if an anagram can be made from it. If so, the program will return `true`, otherwise `false`."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": []
},
{
"cell_type": "markdown",
"metadata": {},
Expand Down Expand Up @@ -56,32 +61,72 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 1,
"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",
" word_a = word_a.lower()\n",
" word_b = word_b.lower()\n",
"\n",
"# Run your code to check using the words below:\n",
" return sorted (word_a) == sorted (word_b)"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"True"
]
},
"execution_count": 2,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"anagram_checker(\"Silent\", \"listen\")"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"False\n"
]
}
],
"source": [
"anagram_checker(\"Silent\", \"Night\")"
]
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 4,
"metadata": {},
"outputs": [],
"outputs": [
{
"data": {
"text/plain": [
"True"
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"anagram_checker(\"night\", \"Thing\")"
]
Expand All @@ -97,26 +142,101 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 38,
"metadata": {},
"outputs": [],
"source": [
"def anagram_checker(word_a, word_b, is_case_sensitive):\n",
" # Modify your existing code here\n",
"\n",
"# Run your code to check using the words below:\n",
" if not is_case_sensitive:\n",
" word_a = word_a.lower()\n",
" word_b = word_b.lower()\n",
" \n",
" return sorted (word_a) == sorted (word_b)\n",
" else:\n",
" word_a = word_a\n",
" word_b = word_b\n",
" return sorted (word_a) == sorted (word_b)"
]
},
{
"cell_type": "code",
"execution_count": 44,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"True"
]
},
"execution_count": 44,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"anagram_checker(\"Silent\", \"listen\", False) # True"
]
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 40,
"metadata": {},
"outputs": [],
"outputs": [
{
"data": {
"text/plain": [
"False"
]
},
"execution_count": 40,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"anagram_checker(\"Silent\", \"Listen\", True) # False"
"anagram_checker(\"Silent\", \"night\", False) # True"
]
},
{
"cell_type": "code",
"execution_count": 41,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"False"
]
},
"execution_count": 41,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"anagram_checker(\"Silent\", \"Listen\", True) #False"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"False"
]
},
"execution_count": 42,
"metadata": {},
"output_type": "execute_result"
}
],
"source": []
},
{
"cell_type": "markdown",
"metadata": {},
Expand All @@ -130,7 +250,7 @@
],
"metadata": {
"kernelspec": {
"display_name": "new-learner",
"display_name": "python-env (3.11.13)",
"language": "python",
"name": "python3"
},
Expand All @@ -144,7 +264,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.11.8"
"version": "3.11.13"
}
},
"nbformat": 4,
Expand Down
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