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add code for assignment 1 #1

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219 changes: 205 additions & 14 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 +56,84 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 114,
"metadata": {},
"outputs": [],
"outputs": [
{
"data": {
"text/plain": [
"True"
]
},
"execution_count": 114,
"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",
" '''Check if two words are anagrams'''\n",
"\n",
" # Trim words to remove any white space\n",
" word_a = word_a.strip()\n",
" word_b = word_b.strip()\n",
"\n",
" # If the words are not of same length, it is likely they are not anagrams\n",
" if(len(word_a) != len(word_b)):\n",
" return False\n",
" \n",
" # lower case words to make function case insensitive and then sort them\n",
" word_a = \"\".join(sorted(word_a.lower()))\n",
" word_b = \"\".join(sorted(word_b.lower()))\n",
"\n",
" # If the sorted words are not equal then it is likely they are not anagrams\n",
" if(word_a != word_b):\n",
" return False\n",
"\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": 115,
"metadata": {},
"outputs": [],
"outputs": [
{
"data": {
"text/plain": [
"False"
]
},
"execution_count": 115,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"anagram_checker(\"Silent\", \"Night\")"
]
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 116,
"metadata": {},
"outputs": [],
"outputs": [
{
"data": {
"text/plain": [
"True"
]
},
"execution_count": 116,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"anagram_checker(\"night\", \"Thing\")"
]
Expand All @@ -97,35 +149,174 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 122,
"metadata": {},
"outputs": [],
"outputs": [
{
"data": {
"text/plain": [
"True"
]
},
"execution_count": 122,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"def anagram_checker(word_a, word_b, is_case_sensitive):\n",
" # Modify your existing code here\n",
" '''\n",
" Check if two words are anagrams. \\n\n",
" If the check needs to be case sensitive set the third argument to True, else set the third argument to False.\n",
" '''\n",
"\n",
" # Trim words to remove any white space\n",
" word_a = word_a.strip()\n",
" word_b = word_b.strip()\n",
"\n",
" # If the words are not of same length, it is likely they are not anagrams\n",
" if(len(word_a) != len(word_b)):\n",
" return False\n",
" \n",
" if not is_case_sensitive:\n",
" # if not case sensitive - case insensitive\n",
" word_a = word_a.lower()\n",
" word_b = word_b.lower()\n",
" \n",
" # sort words\n",
" word_a = \"\".join(sorted(word_a))\n",
" word_b = \"\".join(sorted(word_b))\n",
"\n",
" if(word_a != word_b):\n",
" return False\n",
"\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": 123,
"metadata": {},
"outputs": [],
"outputs": [
{
"data": {
"text/plain": [
"False"
]
},
"execution_count": 123,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"anagram_checker(\"Silent\", \"listen\", True) # False"
]
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 124,
"metadata": {},
"outputs": [],
"outputs": [
{
"data": {
"text/plain": [
"False"
]
},
"execution_count": 124,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"anagram_checker(\"Silent\", \"Listen\", True) # False"
]
},
{
"cell_type": "code",
"execution_count": 125,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"True"
]
},
"execution_count": 125,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"anagram_checker(\"Silent\", \"Listen\", False) # True"
]
},
{
"cell_type": "code",
"execution_count": 126,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"False"
]
},
"execution_count": 126,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"anagram_checker(\"night\", \"Thing\", True) # False"
]
},
{
"cell_type": "code",
"execution_count": 127,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"False"
]
},
"execution_count": 127,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"anagram_checker(\"Silent\", \"Night\", False) # False"
]
},
{
"cell_type": "code",
"execution_count": 128,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"True"
]
},
"execution_count": 128,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"anagram_checker(\"Silent Night\", \"night silent\", False) # True"
]
},
{
"cell_type": "markdown",
"metadata": {},
Expand All @@ -139,7 +330,7 @@
],
"metadata": {
"kernelspec": {
"display_name": "new-learner",
"display_name": "python-env",
"language": "python",
"name": "python3"
},
Expand All @@ -153,7 +344,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.11.8"
"version": "3.11.14"
}
},
"nbformat": 4,
Expand Down