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UofT-DSI | Python - Assignment #1: Anagram Checker #2

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UofT-DSI | Python - Assignment #1: Anagram Checker #2

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144 changes: 131 additions & 13 deletions 02_assignments/assignment_1.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -56,32 +56,86 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 7,
"metadata": {},
"outputs": [],
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"['e', 'i', 'l', 'n', 's', 't']\n",
"['e', 'i', 'l', 'n', 's', 't']\n"
]
},
{
"data": {
"text/plain": [
"True"
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# This is a function, which we will learn more about next week. For testing purposes, we will write our code in the function\n",
"def anagram_checker(word_a, word_b):\n",
" # Your code here\n",
" \"\"\" Check if two words are anagrams\"\"\" \n",
" # Anagrams formed by rearranging the letters of another, such as 'cinema', formed from 'iceman'\n",
" \n",
" # Convert both words to lowercase and sort the characters\n",
" word_a = sorted(word_a.lower())\n",
" word_b = sorted(word_b.lower())\n",
" \n",
" # Print the sorted words to check if they are equal\n",
" # print(word_a)\n",
" # print(word_b)\n",
" \n",
" # Check if the sorted words are equal\n",
" return word_a == word_b\n",
" \n",
"\n",
"# Run your code to check using the words below:\n",
"anagram_checker(\"Slient\", \"listen\")"
]
},
{
"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(\"Slient\", \"Night\")"
]
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 6,
"metadata": {},
"outputs": [],
"outputs": [
{
"data": {
"text/plain": [
"True"
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"anagram_checker(\"night\", \"Thing\")"
]
Expand All @@ -97,22 +151,81 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 1,
"metadata": {},
"outputs": [],
"outputs": [
{
"data": {
"text/plain": [
"True"
]
},
"execution_count": 1,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"def anagram_checker(word_a, word_b, is_case_sensitive):\n",
" # Modify your existing code here\n",
" \"\"\" Check if two words are anagrams \"\"\"\n",
" \n",
" # Sort the words not converting to lowercase if is_case_sensitive is True\n",
" if is_case_sensitive:\n",
" word_a = sorted(word_a)\n",
" word_b = sorted(word_b)\n",
"\n",
" # Convert both words to lowercase if is_case_sensitive is False\n",
" else:\n",
" word_a = word_a.lower()\n",
" word_b = word_b.lower()\n",
" \n",
" # Sort the letters of each word in lists\n",
" word_a = sorted(word_a)\n",
" word_b = sorted(word_b)\n",
" \n",
" # Compare the sorted words/lists\n",
" return word_a == word_b\n",
" \n",
"# Run your code to check using the words below:\n",
"anagram_checker(\"Slient\", \"listen\", False) # True"
]
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 2,
"metadata": {},
"outputs": [],
"outputs": [
{
"data": {
"text/plain": [
"True"
]
},
"execution_count": 2,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"anagram_checker(\"Iceman\", \"Cimena\", False) # False"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"False"
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"anagram_checker(\"Slient\", \"Listen\", True) # False"
]
Expand All @@ -126,6 +239,11 @@
"|Code Execution|All code cells execute without errors.|Any code cell produces an error upon execution.|\n",
"|Code Quality|Code is well-organized, concise, and includes necessary comments for clarity. E.g. Great use of variable names.|Code is unorganized, verbose, or lacks necessary comments. E.g. Single character variable names outside of loops.|"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": []
}
],
"metadata": {
Expand All @@ -144,7 +262,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.11.8"
"version": "3.9.15"
}
},
"nbformat": 4,
Expand Down