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122 changes: 105 additions & 17 deletions 02_activities/assignments/assignment_1.ipynb
Original file line number Diff line number Diff line change
Expand Up @@ -26,10 +26,10 @@
" * Open a private window in your browser. Copy and paste the link to your pull request into the address bar. Make sure you can see your pull request properly. This helps the technical facilitator and learning support staff review your submission easily.\n",
"\n",
"Checklist:\n",
"- [ ] Created a branch with the correct naming convention.\n",
"- [ ] Ensured that the repository is public.\n",
"- [ ] Reviewed the PR description guidelines and adhered to them.\n",
"- [ ] Verify that the link is accessible in a private browser window.\n",
"- [x] Created a branch with the correct naming convention.\n",
"- [x] Ensured that the repository is public.\n",
"- [x] Reviewed the PR description guidelines and adhered to them.\n",
"- [x] Verify that the link is accessible in a private browser window.\n",
"\n",
"If you encounter any difficulties or have questions, please don't hesitate to reach out to our team via our Slack at `#dc-help`. Our Technical Facilitators and Learning Support staff are here to help you navigate any challenges."
]
Expand Down Expand Up @@ -58,30 +58,71 @@
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"outputs": [
{
"data": {
"text/plain": [
"True"
]
},
"execution_count": 16,
"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_c = word_b.lower() #turning word_b into lower case and the characters will we removed as checked in the loop\n",
" for i in word_a.lower(): #goign through all the letters in the lower case of word_a\n",
" if i not in word_c: #checking agains the letters in word_b\n",
" return False\n",
" else:\n",
" word_c = word_c.replace(i, \"\", 1) #removing the letter from word_c so that it won't be checked again\n",
" if len(word_c) != 0: #checking there are no letters left in word_c, otherwise it's not an anagram\n",
" return False\n",
" return True\n",
"\n",
"# Run your code to check using the words below:\n",
"anagram_checker(\"Silent\", \"listen\")"
]
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 17,
"metadata": {},
"outputs": [],
"outputs": [
{
"data": {
"text/plain": [
"False"
]
},
"execution_count": 17,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"anagram_checker(\"Silent\", \"Night\")"
]
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 18,
"metadata": {},
"outputs": [],
"outputs": [
{
"data": {
"text/plain": [
"True"
]
},
"execution_count": 18,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"anagram_checker(\"night\", \"Thing\")"
]
Expand All @@ -99,29 +140,76 @@
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"outputs": [
{
"data": {
"text/plain": [
"True"
]
},
"execution_count": 45,
"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: # it's not case sensitive, making the words lower case\n",
" word_a = word_a.lower() #turning word_a into lower case\n",
" word_c = word_b.lower() #turning word_b into lower case and the characters will we removed as checked in the loop\n",
" else:\n",
" word_c = word_b # storing word_B in another variable where the letters will be removed\n",
" \n",
" for i in word_a: #goign through all the letters in the lower case of word_a\n",
" if i not in word_c: #checking agains the letters in word_b\n",
" return False\n",
" else:\n",
" word_c = word_c.replace(i, \"\", 1) #removing the letter from word_c so that it won't be checked again\n",
" if len(word_c) != 0: #checking there are no letters left in word_c, otherwise it's not an anagram\n",
" return False\n",
" return True\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": 46,
"metadata": {},
"outputs": [],
"outputs": [
{
"data": {
"text/plain": [
"False"
]
},
"execution_count": 46,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"anagram_checker(\"Silent\", \"listen\", True) # False"
]
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 47,
"metadata": {},
"outputs": [],
"outputs": [
{
"data": {
"text/plain": [
"False"
]
},
"execution_count": 47,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"anagram_checker(\"Silent\", \"Listen\", True) # False"
]
Expand All @@ -139,7 +227,7 @@
],
"metadata": {
"kernelspec": {
"display_name": "new-learner",
"display_name": "python-env",
"language": "python",
"name": "python3"
},
Expand All @@ -153,7 +241,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.11.8"
"version": "3.11.5"
}
},
"nbformat": 4,
Expand Down
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