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90 changes: 77 additions & 13 deletions 02_assignments/assignment_1.ipynb
Original file line number Diff line number Diff line change
Expand Up @@ -56,32 +56,70 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 1,
"metadata": {},
"outputs": [],
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Ture\n"
]
}
],
"source": [
"# This is a function, which we will learn more about next week. 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",
" if (sorted(word_a)== sorted(word_b)):\n",
" print (\"Ture\")\n",
" else:\n",
" print(\"False\")\n",
"\n",
"# Run your code to check using the words below:\n",
"anagram_checker(\"Slient\", \"listen\")"
"anagram_checker(\"Slient\", \"listen\")\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 2,
"metadata": {},
"outputs": [],
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"False\n"
]
}
],
"source": [
"def anagram_checker(word_a, word_b):\n",
" # Your code here\n",
" word_a = word_a.lower()\n",
" word_b = word_b.lower()\n",
" if (sorted(word_a)== sorted(word_b)):\n",
" print (\"Ture\")\n",
" else:\n",
" print(\"False\")\n",
"anagram_checker(\"Slient\", \"Night\")"
]
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 3,
"metadata": {},
"outputs": [],
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Ture\n"
]
}
],
"source": [
"anagram_checker(\"night\", \"Thing\")"
]
Expand All @@ -97,22 +135,48 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 5,
"metadata": {},
"outputs": [],
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Ture\n"
]
}
],
"source": [
"def anagram_checker(word_a, word_b, is_case_sensitive):\n",
" # Modify your existing code here\n",
" # Your code here\n",
" if not is_case_sensitive:\n",
" word_a = word_a.lower()\n",
" word_b =word_b.lower()\n",
" else:\n",
" word_a = word_a\n",
" word_b = word_b\n",
" if (sorted(word_a)== sorted(word_b)):\n",
" print (\"Ture\")\n",
" else:\n",
" print(\"False\")\n",
"\n",
"# Run your code to check using the words below:\n",
"anagram_checker(\"Slient\", \"listen\", False) # True"
]
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 6,
"metadata": {},
"outputs": [],
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"False\n"
]
}
],
"source": [
"anagram_checker(\"Slient\", \"Listen\", True) # False"
]
Expand Down Expand Up @@ -144,7 +208,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.11.8"
"version": "3.9.18"
}
},
"nbformat": 4,
Expand Down
134 changes: 120 additions & 14 deletions 02_assignments/assignment_2.ipynb
Original file line number Diff line number Diff line change
Expand Up @@ -90,16 +90,100 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 5,
"metadata": {
"id": "n0m48JsS-nMC"
},
"outputs": [],
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
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"0,1,2,1,2,1,3,2,2,6,10,11,5,9,4,4,7,16,8,6,18,4,12,5,12,7,11,5,11,3,3,5,4,4,5,5,1,1,0,1\n",
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"0,1,1,1,1,3,3,2,6,3,9,7,8,8,4,13,7,14,11,15,14,13,5,13,7,14,9,10,5,11,5,3,5,1,1,4,4,1,2,0\n",
"0,1,1,1,2,3,5,3,6,3,7,10,3,8,12,4,12,9,15,5,17,16,5,10,10,15,7,5,3,11,5,5,6,1,1,1,1,0,2,1\n",
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"0,0,1,1,1,5,1,5,2,2,4,10,4,8,14,6,15,6,12,15,15,13,7,17,4,5,11,4,8,7,9,4,5,3,2,5,4,3,2,1\n",
"0,0,2,2,3,4,6,3,7,6,4,5,8,4,7,7,6,11,12,19,20,18,9,5,4,7,14,8,4,3,7,7,8,3,5,4,1,3,1,0\n",
"0,0,0,1,4,4,6,3,8,6,4,10,12,3,3,6,8,7,17,16,14,15,17,4,14,13,4,4,12,11,6,9,5,5,2,5,2,1,0,1\n",
"0,1,1,0,3,2,4,6,8,6,2,3,11,3,14,14,12,8,8,16,13,7,6,9,15,7,6,4,10,8,10,4,2,6,5,5,2,3,2,1\n",
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"0,1,1,3,4,5,2,1,3,7,9,6,10,5,8,15,11,12,15,6,12,16,6,4,14,3,12,9,6,11,5,8,5,5,6,1,2,1,2,0\n",
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"0,1,2,2,4,3,1,4,8,9,5,10,10,3,4,6,7,11,16,6,14,9,11,10,10,7,10,8,8,4,5,8,4,4,5,2,4,1,1,0\n",
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"0,1,2,1,1,4,5,4,4,5,9,7,10,3,13,13,8,9,17,16,16,15,12,13,5,12,10,9,11,9,4,5,5,2,2,5,1,0,0,1\n",
"0,0,1,3,2,3,6,4,5,7,2,4,11,11,3,8,8,16,5,13,16,5,8,8,6,9,10,10,9,3,3,5,3,5,4,5,3,3,0,1\n",
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"0,1,1,1,4,1,6,4,6,3,6,5,6,4,14,13,13,9,12,19,9,10,15,10,9,10,10,7,5,6,8,6,6,4,3,5,2,1,1,1\n",
"0,0,0,1,4,5,6,3,8,7,9,10,8,6,5,12,15,5,10,5,8,13,18,17,14,9,13,4,10,11,10,8,8,6,5,5,2,0,2,0\n",
"0,0,1,0,3,2,5,4,8,2,9,3,3,10,12,9,14,11,13,8,6,18,11,9,13,11,8,5,5,2,8,5,3,5,4,1,3,1,1,0\n"
]
}
],
"source": [
"import csv \n",
"all_paths = [\n",
" \"../05_data/assignment_2_data/inflammation_01.csv\",\n",
" \"../05_data/assignment_2_data/inflammation_02.csv\",\n",
" \"../05_data/assignment_2_data/inflammation_03.csv\",\n",
" \"../05_data/assignment_2_data/inflammation_04.csv\",\n",
" \"../05_data/assignment_2_data/inflammation_05.csv\",\n",
" \"../05_data/assignment_2_data/inflammation_06.csv\",\n",
" \"../05_data/assignment_2_data/inflammation_07.csv\",\n",
" \"../05_data/assignment_2_data/inflammation_08.csv\",\n",
" \"../05_data/assignment_2_data/inflammation_09.csv\",\n",
" \"../05_data/assignment_2_data/inflammation_10.csv\",\n",
" \"../05_data/assignment_2_data/inflammation_11.csv\",\n",
" \"../05_data/assignment_2_data/inflammation_12.csv\"\n",
"]\n",
"with open(all_paths[0], 'r') as f:\n",
" # YOUR CODE HERE: Use the readline() method to read the .csv file into 'contents'\n",
" \n",
" # YOUR CODE HERE: Iterate through 'contents' using a for loop and print each row for inspection"
" contents = f.readlines()\n",
" # YOUR CODE HERE: Iterate through 'contents' using a for loop and print each row for inspection\n",
" for line in contents:\n",
" print(line.strip())"
]
},
{
Expand Down Expand Up @@ -133,7 +217,7 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 12,
"metadata": {
"id": "82-bk4CBB1w4"
},
Expand All @@ -148,12 +232,15 @@
"\n",
" # implement the specific operation based on the 'operation' argument\n",
" if operation == 'mean':\n",
" summary_values = np.mean(data,axis=ax)\n",
" # YOUR CODE HERE: calculate the mean (average) number of flare-ups for each patient\n",
"\n",
" \n",
" elif operation == 'max':\n",
" summary_values = np.max(data,axis=ax)\n",
" # YOUR CODE HERE: calculate the maximum number of flare-ups experienced by each patient\n",
"\n",
" elif operation == 'min':\n",
" summary_values = np.min(data,axis=ax)\n",
" # YOUR CODE HERE: calculate the minimum number of flare-ups experienced by each patient\n",
"\n",
" else:\n",
Expand All @@ -165,11 +252,19 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 13,
"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 @@ -232,7 +327,7 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 30,
"metadata": {
"id": "_svDiRkdIwiT"
},
Expand All @@ -255,7 +350,7 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 38,
"metadata": {
"id": "LEYPM5v4JT0i"
},
Expand All @@ -264,16 +359,27 @@
"# Define your function `detect_problems` here\n",
"\n",
"def detect_problems(file_path):\n",
" means = patient_summary(file_path, 'mean')\n",
" zero_check = check_zeros(means)\n",
" \n",
" #YOUR CODE HERE: use patient_summary() to get the means and check_zeros() to check for zeros in the means\n",
"\n",
" return"
" return zero_check == 0"
]
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 39,
"metadata": {},
"outputs": [],
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"True\n"
]
}
],
"source": [
"# Test out your code here\n",
"# Your output for the first file should be True\n",
Expand Down Expand Up @@ -331,7 +437,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.11.8"
"version": "3.9.18"
}
},
"nbformat": 4,
Expand Down
13 changes: 13 additions & 0 deletions 02_assignments/def anagram_checker
Original file line number Diff line number Diff line change
@@ -0,0 +1,13 @@
def anagram_checker(word_a, word_b):
# Your code here
word_a = word_a.lower()
word_b = word_b.lower()
if (sorted(word_a)== sorted(word_b)):
print ("Ture")
else:
print("False")


# Run your code to check using the words below:
anagram_checker("Silent", "listen")