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I completed assignment 2 based on the requirements #2

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cd64207
I added code in the assignment_1.ipynb as per the assignment instruct…
miyohtnk Feb 12, 2025
b319f24
I changed the code so that it is more concise
miyohtnk Feb 18, 2025
b5cd1fb
I have completed assignment 2 based on requirements
miyohtnk Feb 27, 2025
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192 changes: 177 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 +56,67 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 9,
"metadata": {},
"outputs": [],
"outputs": [
{
"data": {
"text/plain": [
"True"
]
},
"execution_count": 9,
"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",
" sorted_word_a = sorted(word_a.lower()) #sorted() will create a list of every letter alphabetically (so if both words have the same letters it should be 1 to 1)\n",
" sorted_word_b = sorted(word_b.lower()) # .lower() method ensures that this function is case insensitive, making all letters lowercase\n",
" return sorted_word_a == sorted_word_b\n",
"\n",
"# Run your code to check using the words below:\n",
"anagram_checker(\"Silent\", \"listen\")"
]
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 10,
"metadata": {},
"outputs": [],
"outputs": [
{
"data": {
"text/plain": [
"False"
]
},
"execution_count": 10,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"anagram_checker(\"Silent\", \"Night\")"
]
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 11,
"metadata": {},
"outputs": [],
"outputs": [
{
"data": {
"text/plain": [
"True"
]
},
"execution_count": 11,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"anagram_checker(\"night\", \"Thing\")"
]
Expand All @@ -97,26 +132,153 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 12,
"metadata": {},
"outputs": [],
"outputs": [
{
"data": {
"text/plain": [
"True"
]
},
"execution_count": 12,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"def anagram_checker(word_a, word_b, is_case_sensitive):\n",
" # Modify your existing code here\n",
"def anagram_checker(word_a, word_b, is_case_sensitive): \n",
" sorted_word_a = sorted(word_a) #retains uppercase and lowercase\n",
" sorted_word_b = sorted(word_b)\n",
" sorted_word_a_lower = sorted(word_a.lower()) #sorted() will create a list of every letter alphabetically (so if both words have the same letters it should be 1 to 1)\n",
" sorted_word_b_lower = sorted(word_b.lower()) #does not retain uppercase\n",
" if is_case_sensitive: #Evaluates as true\n",
" return sorted_word_a == sorted_word_b\n",
" \n",
" elif is_case_sensitive == False:\n",
" return sorted_word_a_lower == sorted_word_b_lower\n",
"\n",
"# Run your code to check using the words below:\n",
"anagram_checker(\"Silent\", \"listen\", False) # True"
]
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 13,
"metadata": {},
"outputs": [],
"outputs": [
{
"data": {
"text/plain": [
"False"
]
},
"execution_count": 13,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"anagram_checker(\"Silent\", \"Listen\", True) # False"
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"True"
]
},
"execution_count": 14,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"anagram_checker(\"Silent\", \"liSten\", True) #True # added to make sure it works"
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"True"
]
},
"execution_count": 15,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"anagram_checker(\"Silent\", \"LiSten\", False) #True # added to make sure it works"
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"False"
]
},
"execution_count": 16,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"anagram_checker(\"proper\", \"time\", True) #False #checking with other words"
]
},
{
"cell_type": "code",
"execution_count": 17,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"False"
]
},
"execution_count": 17,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"anagram_checker(\"proper\", \"time\", False) #False # checking with other words"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"True\n"
]
}
],
"source": [
"anagram_checker(\"Silent\", \"liSten\", False) #True"
]
},
{
"cell_type": "markdown",
"metadata": {},
Expand All @@ -130,7 +292,7 @@
],
"metadata": {
"kernelspec": {
"display_name": "new-learner",
"display_name": "dsi_participant",
"language": "python",
"name": "python3"
},
Expand All @@ -144,7 +306,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.11.8"
"version": "3.9.15"
}
},
"nbformat": 4,
Expand Down
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