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Update assignment_1.ipynb: Added own code for anagram checker #1

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Update assignment_1.ipynb: Added own code for anagram checker #1

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101 changes: 87 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 +56,72 @@
},
{
"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": [
"# 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",
" string_a = [] # creating an empty string corresponding to word_a to add elements to\n",
" string_a.extend(word_a.lower()) # first converting word_a to lowercase and then adding each letter as its own element to str_a\n",
" string_b = [] # same thing but for word_b\n",
" string_b.extend(word_b.lower())\n",
" if sorted(string_a) == sorted(string_b): # if a pair of words are anagrams, they will have the same list of letters. Sorting these lists ensures that they match exactly element-by-element\n",
" return True\n",
" else:\n",
" return False\n",
"# Run your code to check using the words below:\n",
"anagram_checker(\"Silent\", \"listen\")"
]
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 2,
"metadata": {},
"outputs": [],
"outputs": [
{
"data": {
"text/plain": [
"False"
]
},
"execution_count": 2,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"anagram_checker(\"Silent\", \"Night\")"
]
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 3,
"metadata": {},
"outputs": [],
"outputs": [
{
"data": {
"text/plain": [
"True"
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"anagram_checker(\"night\", \"Thing\")"
]
Expand All @@ -97,22 +137,55 @@
},
{
"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": [
"def anagram_checker(word_a, word_b, is_case_sensitive):\n",
" # Modify your existing code here\n",
"\n",
" string_a = [] # creating empty strings to populate later\n",
" string_b = [] \n",
" if is_case_sensitive == True: \n",
" string_a.extend(word_a) # since we check case sensitivity, the elements won't be forced into lowercase before being compared\n",
" string_b.extend(word_b) \n",
" else:\n",
" string_a.extend(word_a.lower()) # if we don't care about case sensitivty, convert both words to lowercase first\n",
" string_b.extend(word_b.lower())\n",
" if sorted(string_a) == sorted(string_b): # compare the two strings, sorting them first to ensure they match element-by-element if they are indeed anagrams\n",
" return True\n",
" else:\n",
" return False\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": 5,
"metadata": {},
"outputs": [],
"outputs": [
{
"data": {
"text/plain": [
"False"
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"anagram_checker(\"Silent\", \"Listen\", True) # False"
]
Expand All @@ -130,7 +203,7 @@
],
"metadata": {
"kernelspec": {
"display_name": "new-learner",
"display_name": "python-env",
"language": "python",
"name": "python3"
},
Expand All @@ -144,7 +217,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.11.8"
"version": "3.11.14"
}
},
"nbformat": 4,
Expand Down