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Assignment 2 #2

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96c0717
Inserted code into first assignment
EthanRossmath Feb 12, 2025
c751835
new branch
EthanRossmath Mar 1, 2025
611d5f1
filled out the assignment 2 jupyter notebook
EthanRossmath Mar 1, 2025
85d0cc9
removed the path setting that would only work on my local machine
EthanRossmath Mar 1, 2025
e9f7932
added further explanation to the assignment 2 file
EthanRossmath Mar 1, 2025
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1 change: 1 addition & 0 deletions 01_materials/slides/provinces.txt
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Original file line number Diff line number Diff line change
@@ -0,0 +1 @@
BCABSKMBONQCNLNBNSPE
96 changes: 82 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 @@ -56,32 +56,69 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 7,
"metadata": {},
"outputs": [],
"outputs": [
{
"data": {
"text/plain": [
"True"
]
},
"execution_count": 7,
"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",
" '''Takes as inputs two strings word_a and word_b\n",
" returns True if they are anagrams and False otherwise.\n",
" Not case sensitive'''\n",
" return sorted(word_a.lower()) == sorted(word_b.lower()) \n",
" #converts both strings to lists of lowercase letters in alphabetic order\n",
"\n",
"# Run your code to check using the words below:\n",
"anagram_checker(\"Silent\", \"listen\")"
]
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 8,
"metadata": {},
"outputs": [],
"outputs": [
{
"data": {
"text/plain": [
"False"
]
},
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"anagram_checker(\"Silent\", \"Night\")"
]
},
{
"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": [
"anagram_checker(\"night\", \"Thing\")"
]
Expand All @@ -97,22 +134,53 @@
},
{
"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",
" '''Takes as inputs two strings word_a and word_b and a\n",
" Boolean is_case_sensitive.\n",
" Returns True if they are anagrams and False otherwise.\n",
" Is case sensitive if is_case_sensitive == True'''\n",
" if is_case_sensitive:\n",
" return sorted(word_a) == sorted(word_b) \n",
" # transforms each string into a list of letters order alphabetically\n",
" else:\n",
" return sorted(word_a.lower()) == sorted(word_b.lower()) \n",
" # makes the strings both lowercase to remove case sensitivity\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"
]
Expand All @@ -130,7 +198,7 @@
],
"metadata": {
"kernelspec": {
"display_name": "new-learner",
"display_name": "dsi_participant",
"language": "python",
"name": "python3"
},
Expand All @@ -144,7 +212,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.11.8"
"version": "3.9.21"
}
},
"nbformat": 4,
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