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assignment_1_my_first_code #1

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107 changes: 89 additions & 18 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 +56,73 @@
},
{
"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",
" # first you need to normalice the values (all the characters in each word could be loweers)\n",
" # Second you need to delete the spacies, just in case the anagram has more than 1 word, in this case I replaced the space ' ' with '' an empty value.\n",
" # third after normalize the characters and delete the spaces you can sorted the characters in alphabetic order\n",
" # Finaly you compare the result. \n",
"\n",
"def anagram_checker(word_a, word_b):\n",
" # Your code here\n",
" word_a_list = sorted (word_a.lower().replace(' ', '')) \n",
" word_b_list = sorted (word_b.lower().replace(' ', '')) \n",
" return word_a_list == word_b_list\n",
"\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 @@ -97,24 +138,54 @@
},
{
"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",
"\n",
"def anagram_checker_sensitive (word_a, word_b, is_case_sensitive):\n",
" # first define if not is_case_sensitive: normalized characters and compare the words without spaces and in lowers.\n",
" if not is_case_sensitive:\n",
" word_a_list = sorted (word_a.lower().replace(' ', ''))\n",
" word_b_list = sorted (word_b.lower().replace(' ', ''))\n",
" return word_a_list == word_b_list\n",
" \n",
" #second: define if is_case_sensitive, not normalized the characters, remove the spaces and sorted to compare the list between the two words.\n",
" elif is_case_sensitive:\n",
" return sorted (word_a.replace(' ', ''))== sorted(word_b.replace(' ', ''))\n",
" \n",
"# Run your code to check using the words below:\n",
"anagram_checker(\"Silent\", \"listen\", False) # True"
"anagram_checker_sensitive (\"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"
"anagram_checker_sensitive (\"Silent\", \"Listen\", True) # False"
]
},
{
Expand All @@ -130,7 +201,7 @@
],
"metadata": {
"kernelspec": {
"display_name": "new-learner",
"display_name": "dsi_participant",
"language": "python",
"name": "python3"
},
Expand All @@ -144,7 +215,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.11.8"
"version": "3.9.18"
}
},
"nbformat": 4,
Expand Down