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Assignment-2 submission #319

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19146df
Assignment files was fulfilled
zsepahi Nov 12, 2025
705deff
Merge pull request #1 from zsepahi/assignment
zsepahi Nov 14, 2025
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96 changes: 81 additions & 15 deletions 01_materials/slides/04_strings.ipynb
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -357,7 +357,7 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 1,
"id": "b922b788",
"metadata": {
"colab": {
Expand All @@ -366,7 +366,18 @@
"id": "b922b788",
"outputId": "a40e63ee-89bb-479e-dc21-c04b53502d2b"
},
"outputs": [],
"outputs": [
{
"data": {
"text/plain": [
"False"
]
},
"execution_count": 1,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"'apple' == 'Apple'"
]
Expand Down Expand Up @@ -556,7 +567,7 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 2,
"id": "052d6727",
"metadata": {
"id": "052d6727"
Expand All @@ -568,7 +579,7 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 3,
"id": "22261d43",
"metadata": {
"colab": {
Expand All @@ -577,14 +588,25 @@
"id": "22261d43",
"outputId": "98df15ab-64db-4b14-ad0e-3b760beccdc1"
},
"outputs": [],
"outputs": [
{
"data": {
"text/plain": [
"True"
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"'R' in job_qualifications"
]
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 4,
"id": "0345fd67",
"metadata": {
"colab": {
Expand All @@ -593,14 +615,25 @@
"id": "0345fd67",
"outputId": "26583257-42da-4bab-b326-c7249f67c613"
},
"outputs": [],
"outputs": [
{
"data": {
"text/plain": [
"False"
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"' r ' in job_qualifications"
]
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 5,
"id": "c54f65ef",
"metadata": {
"colab": {
Expand All @@ -609,7 +642,18 @@
"id": "c54f65ef",
"outputId": "ede4fcad-d092-46d1-a1ca-ffa1f8a8bec5"
},
"outputs": [],
"outputs": [
{
"data": {
"text/plain": [
"False"
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"'JavaScript' in job_qualifications"
]
Expand Down Expand Up @@ -730,10 +774,21 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 6,
"id": "5ae0487a",
"metadata": {},
"outputs": [],
"outputs": [
{
"data": {
"text/plain": [
"\"Ada Lovelace's initials are A. L.\""
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"first_name = 'Ada'\n",
"last_name = 'Lovelace'\n",
Expand All @@ -751,10 +806,21 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 7,
"id": "05e7baca",
"metadata": {},
"outputs": [],
"outputs": [
{
"data": {
"text/plain": [
"\"Ada Lovelace's initials are A. L.\""
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"f'Ada Lovelace\\'s initials are {first_name[0]}. {last_name[0]}.'"
]
Expand Down Expand Up @@ -806,7 +872,7 @@
"toc_visible": true
},
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"display_name": "python-env",
"language": "python",
"name": "python3"
},
Expand All @@ -820,7 +886,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.11.8"
"version": "3.11.7"
},
"rise": {
"scroll": true,
Expand Down
88 changes: 76 additions & 12 deletions 02_activities/assignments/assignment_1.ipynb
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Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -56,32 +56,69 @@
},
{
"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",
" word_a = word_a.lower()\n",
" word_b = word_b.lower()\n",
"\n",
" return sorted(word_a) == sorted(word_b)\n",
"\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 +134,49 @@
},
{
"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": [
"def anagram_checker(word_a, word_b, is_case_sensitive):\n",
" # Modify your existing code here\n",
" if not is_case_sensitive:\n",
" word_a = word_a.lower()\n",
" word_b = word_b.lower()\n",
" \n",
" return sorted(word_a) == sorted(word_b)\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": 7,
"metadata": {},
"outputs": [],
"outputs": [
{
"data": {
"text/plain": [
"False"
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"anagram_checker(\"Silent\", \"Listen\", True) # False"
]
Expand All @@ -130,7 +194,7 @@
],
"metadata": {
"kernelspec": {
"display_name": "new-learner",
"display_name": "base",
"language": "python",
"name": "python3"
},
Expand All @@ -144,7 +208,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.11.8"
"version": "3.11.7"
}
},
"nbformat": 4,
Expand Down
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