Skip to content

Assignment two-Part 3 Correction #316

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
awanjp-dsi wants to merge 3 commits into
base: main
Choose a base branch
from
Open

Assignment two-Part 3 Correction #316

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
97ae941
Pthon Assignment_1-Sultan Mehmood
awanjp-dsi Dec 1, 2025
e52cbb2
Python Assignment-2 Sultan Mehmood
awanjp-dsi Dec 10, 2025
a6dcfa1
assignment_2 Part 3 Correction
awanjp-dsi Dec 11, 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
181 changes: 166 additions & 15 deletions 02_activities/assignments/assignment_1.ipynb
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -56,32 +56,98 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 6,
"metadata": {},
"outputs": [],
"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",
" clean_a = word_a.replace(\" \", \"\").lower()\n",
" clean_b = word_b.replace(\" \", \"\").lower()\n",
" if len(clean_a) == len(clean_b) and sorted(clean_a) == sorted(clean_b):\n",
" return True\n",
" \n",
" else:\n",
" return False\n"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"True"
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# 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": [
"False"
]
},
"execution_count": 9,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"anagram_checker(\"sleep\", \"Stand\")"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"True"
]
},
"execution_count": 10,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"anagram_checker(\"night\", \"Thing\")"
]
Expand All @@ -97,26 +163,111 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"def anagram_checker(word_a, word_b, is_case_sensitive):\n",
" # Modify your existing code here\n",
"\n",
"# Run your code to check using the words below:\n",
" if is_case_sensitive: \n",
" clean_a = word_a.replace(\" \", \"\")\n",
" clean_b = word_b.replace(\" \", \"\")\n",
" \n",
" if len(clean_a) == len(clean_b) and sorted(clean_a) == sorted(clean_b):\n",
" return True\n",
" \n",
" else:\n",
" return False\n",
" else:\n",
" clean_a = word_a.replace(\" \", \"\").lower()\n",
" clean_b = word_b.replace(\" \", \"\").lower()\n",
" \n",
" if len(clean_a) == len(clean_b) and sorted(clean_a) == sorted(clean_b):\n",
" return True\n",
" \n",
" else:\n",
" return False"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"True"
]
},
"execution_count": 2,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"anagram_checker(\"Silent\", \"listen\", False) # True"
]
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 3,
"metadata": {},
"outputs": [],
"outputs": [
{
"data": {
"text/plain": [
"False"
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"anagram_checker(\"Silent\", \"listen\", True) # False"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"False"
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"anagram_checker(\"Silent\", \"Listen\", True) # False"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"True"
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"anagram_checker(\"Listen\", \"siLent\", True) # true"
]
},
{
"cell_type": "markdown",
"metadata": {},
Expand All @@ -130,7 +281,7 @@
],
"metadata": {
"kernelspec": {
"display_name": "new-learner",
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
Expand All @@ -144,7 +295,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.11.8"
"version": "3.14.0"
}
},
"nbformat": 4,
Expand Down
Loading