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Assignment 2 #2

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e0bb6b2
First Python code, assinment_1
halekad Aug 22, 2025
46be980
Submit Python assignemnt2
halekad Aug 28, 2025
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116 changes: 104 additions & 12 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 +56,73 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 4,
"metadata": {},
"outputs": [],
"outputs": [
{
"data": {
"text/plain": [
"True"
]
},
"execution_count": 4,
"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",
" if (type(word_a) == str) and (type(word_b) == str): # check for valid arguements\n",
" sorted_xters1 = sorted(word_a.lower()) # sort lower case of word_a\n",
" sorted_xters2 = sorted(word_b.lower()) # sort lower case of word_b\n",
" checker = sorted_xters1 == sorted_xters2 # check for equality in 2 strings\n",
" return checker\n",
" else:\n",
" print('Please run with valid arguements')\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 @@ -97,22 +138,56 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 5,
"metadata": {},
"outputs": [],
"outputs": [
{
"data": {
"text/plain": [
"True"
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"def anagram_checker(word_a, word_b, is_case_sensitive):\n",
" # Modify your existing code here\n",
" if (type(word_a) == str) and (type(word_b) == str) and (type(is_case_sensitive) == bool) : # check for valid arguements\n",
" if is_case_sensitive :\n",
" sorted_xters1 = sorted(word_a) # sort string1\n",
" sorted_xters2 = sorted(word_b) # sort string2\n",
" checker = sorted_xters1 == sorted_xters2 # check for equality in 2 strings\n",
" else:\n",
" sorted_xters1 = sorted(word_a.lower()) # sort lower case of string1\n",
" sorted_xters2 = sorted(word_b.lower()) # sort lower case of string2\n",
" checker = sorted_xters1 == sorted_xters2 # check for equality in 2 strings\n",
" return checker #retun true or false\n",
" else:\n",
" print(\"Please enter valid arguements\")\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": 6,
"metadata": {},
"outputs": [],
"outputs": [
{
"data": {
"text/plain": [
"False"
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"anagram_checker(\"Silent\", \"Listen\", True) # False"
]
Expand All @@ -126,11 +201,28 @@
"|Code Execution|All code cells execute without errors.|Any code cell produces an error upon execution.|\n",
"|Code Quality|Code is well-organized, concise, and includes necessary comments for clarity. E.g. Great use of variable names.|Code is unorganized, verbose, or lacks necessary comments. E.g. Single character variable names outside of loops.|"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Please enter valid arguements\n"
]
}
],
"source": [
"anagram_checker(\"Silent\", \"Listen\",1)"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "new-learner",
"display_name": "dsi_participant",
"language": "python",
"name": "python3"
},
Expand All @@ -144,7 +236,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.11.8"
"version": "3.9.19"
}
},
"nbformat": 4,
Expand Down
77 changes: 53 additions & 24 deletions 02_activities/assignments/assignment_2.ipynb
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -79,24 +79,31 @@
"outputs": [],
"source": [
"all_paths = [\n",
" \"python/05_src/data/assignment_2_data/inflammation_01.csv\",\n",
" \"python/05_src/data/assignment_2_data/inflammation_02.csv\",\n",
" \"python/05_src/data/assignment_2_data/inflammation_03.csv\",\n",
" \"python/05_src/data/assignment_2_data/inflammation_04.csv\",\n",
" \"python/05_src/data/assignment_2_data/inflammation_05.csv\",\n",
" \"python/05_src/data/assignment_2_data/inflammation_06.csv\",\n",
" \"python/05_src/data/assignment_2_data/inflammation_07.csv\",\n",
" \"python/05_src/data/assignment_2_data/inflammation_08.csv\",\n",
" \"python/05_src/data/assignment_2_data/inflammation_09.csv\",\n",
" \"python/05_src/data/assignment_2_data/inflammation_10.csv\",\n",
" \"python/05_src/data/assignment_2_data/inflammation_11.csv\",\n",
" \"python/05_src/data/assignment_2_data/inflammation_12.csv\"\n",
" \"C:/Users/Mo/python/python/05_src/data/assignment_2_data/inflammation_01.csv\",\n",
" \"C:/Users/Mo/python/python/05_src/data/assignment_2_data/inflammation_02.csv\",\n",
" \"C:/Users/Mo/python/python/05_src/data/assignment_2_data/inflammation_03.csv\",\n",
" \"C:/Users/Mo/python/python/05_src/data/assignment_2_data/inflammation_04.csv\",\n",
" \"C:/Users/Mo/python/python/05_src/data/assignment_2_data/inflammation_05.csv\",\n",
" \"C:/Users/Mo/python/python/05_src/data/assignment_2_data/inflammation_06.csv\",\n",
" \"C:/Users/Mo/python/python/05_src/data/assignment_2_data/inflammation_07.csv\",\n",
" \"C:/Users/Mo/python/python/05_src/data/assignment_2_data/inflammation_08.csv\",\n",
" \"C:/Users/Mo/python/python/05_src/data/assignment_2_data/inflammation_09.csv\",\n",
" \"C:/Users/Mo/python/python/05_src/data/assignment_2_data/inflammation_10.csv\",\n",
" \"C:/Users/Mo/python/python/05_src/data/assignment_2_data/inflammation_11.csv\",\n",
" \"C:/Users/Mo/python/python/05_src/data/assignment_2_data/inflammation_12.csv\"\n",
"]\n",
"\n",
"with open(all_paths[0], 'r') as f:\n",
" # YOUR CODE HERE: Use the readline() or readlines() method to read the .csv file into a variable\n",
" \n",
" # YOUR CODE HERE: Iterate through the variable using a for loop and print each row for inspection"
" #for i in range(5):\n",
" Read_file = f.readlines()\n",
" #print(Read_file)\n",
"\n",
" # YOUR CODE HERE: Iterate through the variable using a for loop and print each row for inspection\n",
" for i in Read_file:\n",
" print(i)\n",
" \n",
" "
]
},
{
Expand Down Expand Up @@ -130,7 +137,7 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 20,
"metadata": {
"id": "82-bk4CBB1w4"
},
Expand All @@ -145,12 +152,15 @@
" # Implement the specific operation based on the 'operation' argument\n",
" if operation == 'mean':\n",
" # YOUR CODE HERE: Calculate the mean (average) number of flare-ups for each patient\n",
" summary_values = data.mean(axis = ax)\n",
"\n",
" elif operation == 'max':\n",
" # YOUR CODE HERE: Calculate the maximum number of flare-ups experienced by each patient\n",
" summary_values = data.max(axis = ax)\n",
"\n",
" elif operation == 'min':\n",
" # YOUR CODE HERE: Calculate the minimum number of flare-ups experienced by each patient\n",
" summary_values = data.min(axis = ax)\n",
"\n",
" else:\n",
" # If the operation is not one of the expected values, raise an error\n",
Expand All @@ -161,11 +171,19 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 21,
"metadata": {
"id": "3TYo0-1SDLrd"
},
"outputs": [],
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"60\n"
]
}
],
"source": [
"# Test it out on the data file we read in and make sure the size is what we expect i.e., 60\n",
"# Your output for the first file should be 60\n",
Expand Down Expand Up @@ -228,7 +246,7 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 22,
"metadata": {
"id": "_svDiRkdIwiT"
},
Expand All @@ -251,7 +269,7 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 25,
"metadata": {
"id": "LEYPM5v4JT0i"
},
Expand All @@ -261,15 +279,25 @@
"\n",
"def detect_problems(file_path):\n",
" #YOUR CODE HERE: Use patient_summary() to get the means and check_zeros() to check for zeros in the means\n",
" Y = patient_summary(file_path, 'mean')\n",
" Problem = check_zeros(Y)\n",
"\n",
" return"
" return Problem"
]
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 26,
"metadata": {},
"outputs": [],
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"False\n"
]
}
],
"source": [
"# Test out your code here\n",
"# Your output for the first file should be False\n",
Expand Down Expand Up @@ -314,7 +342,8 @@
"provenance": []
},
"kernelspec": {
"display_name": "Python 3",
"display_name": "dsi_participant",
"language": "python",
"name": "python3"
},
"language_info": {
Expand All @@ -327,7 +356,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.11.8"
"version": "3.9.19"
}
},
"nbformat": 4,
Expand Down