Skip to content

Assignment 2 #2

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Open
abeerkhe wants to merge 3 commits into
base: main
Choose a base branch
from
Open

Assignment 2 #2

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
3 commits
Select commit Hold shift + click to select a range
cfcd46b
Submitting Assignment 1.
abeerkhe Aug 25, 2025
80783c5
Uploading Python Assignment 1.
abeerkhe Aug 25, 2025
3f810ac
Uploading Python Assignment 2.
abeerkhe Sep 2, 2025
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
163 changes: 151 additions & 12 deletions 02_activities/assignments/assignment_1.ipynb
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -58,31 +58,105 @@
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"outputs": [
{
"data": {
"text/plain": [
"True"
]
},
"execution_count": 6,
"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",
" '''Convert if two words are anagrams, regardless of capitalization.'''\n",
" \n",
" #Make both strings lower case for testing. \n",
" word_a = word_a.lower() \n",
" word_b = word_b.lower() \n",
"\n",
" #Convert both strings into a list. \n",
" word_a_list = list(word_a)\n",
" word_b_list = list(word_b)\n",
"\n",
" #Check if sorted strings are identical. \n",
" return(sorted(word_a_list) == sorted(word_b_list))\n",
" \n",
"# Run your code to check using the words below:\n",
"anagram_checker(\"Silent\", \"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": [
"# For testing purposes, we will write our code in the function\n",
"def anagram_checker(word_a, word_b):\n",
" '''Convert if two words are anagrams, regardless of capitalization.'''\n",
" \n",
" #Make both strings lower case for testing. \n",
" word_a = word_a.lower() \n",
" word_b = word_b.lower() \n",
"\n",
" #Convert both strings into a list. \n",
" word_a_list = list(word_a)\n",
" word_b_list = list(word_b)\n",
"\n",
" #Check if sorted strings are identical. \n",
" return(sorted(word_a_list) == sorted(word_b_list))\n",
"\n",
"anagram_checker(\"Silent\", \"Night\")"
]
},
{
"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",
" '''Convert if two words are anagrams, regardless of capitalization.'''\n",
" \n",
" #Make both strings lower case for testing. \n",
" word_a = word_a.lower() \n",
" word_b = word_b.lower() \n",
"\n",
" #Convert both strings into a list. \n",
" word_a_list = list(word_a)\n",
" word_b_list = list(word_b)\n",
"\n",
" #Check if sorted strings are identical. \n",
" return(sorted(word_a_list) == sorted(word_b_list))\n",
"\n",
"anagram_checker(\"night\", \"Thing\")"
]
},
Expand All @@ -99,21 +173,86 @@
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"outputs": [
{
"data": {
"text/plain": [
"True"
]
},
"execution_count": 10,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"def anagram_checker(word_a, word_b, is_case_sensitive):\n",
" # Modify your existing code here\n",
" '''Convert if two words are anagrams, regardless of capitalization.'''\n",
" \n",
" if is_case_sensitive == False: \n",
" #If ignoring case, make both strings lower case for testing. \n",
" word_a = word_a.lower() \n",
" word_b = word_b.lower() \n",
"\n",
" #Convert both strings into a list. \n",
" word_a_list = list(word_a)\n",
" word_b_list = list(word_b)\n",
"\n",
" #Check if sorted strings are identical. \n",
" return(sorted(word_a_list) == sorted(word_b_list))\n",
" \n",
" elif is_case_sensitive == True: \n",
" #Convert both strings into a list. \n",
" word_a_list = list(word_a)\n",
" word_b_list = list(word_b)\n",
"\n",
" #Check if sorted strings are identical. \n",
" return(sorted(word_a_list) == sorted(word_b_list))\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": 11,
"metadata": {},
"outputs": [],
"outputs": [
{
"data": {
"text/plain": [
"False"
]
},
"execution_count": 11,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"def anagram_checker(word_a, word_b, is_case_sensitive):\n",
" '''Convert if two words are anagrams, regardless of capitalization.'''\n",
" \n",
" if is_case_sensitive == False: \n",
" #If ignoring case, make both strings lower case for testing. \n",
" word_a = word_a.lower() \n",
" word_b = word_b.lower() \n",
"\n",
" #Convert both strings into a list. \n",
" word_a_list = list(word_a)\n",
" word_b_list = list(word_b)\n",
"\n",
" #Check if sorted strings are identical. \n",
" return(sorted(word_a_list) == sorted(word_b_list))\n",
" \n",
" elif is_case_sensitive == True: \n",
" #Convert both strings into a list. \n",
" word_a_list = list(word_a)\n",
" word_b_list = list(word_b)\n",
"\n",
" #Check if sorted strings are identical. \n",
" return(sorted(word_a_list) == sorted(word_b_list))\n",
" \n",
"anagram_checker(\"Silent\", \"Listen\", True) # False"
]
},
Expand All @@ -130,7 +269,7 @@
],
"metadata": {
"kernelspec": {
"display_name": "new-learner",
"display_name": "dsi_participant",
"language": "python",
"name": "python3"
},
Expand All @@ -144,7 +283,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.11.8"
"version": "3.9.18"
}
},
"nbformat": 4,
Expand Down
Loading