diff --git a/02_activities/assignments/assignment_2.ipynb b/02_activities/assignments/assignment_2.ipynb
index 36a3e2bb7..70dfb0203 100644
--- a/02_activities/assignments/assignment_2.ipynb
+++ b/02_activities/assignments/assignment_2.ipynb
@@ -63,7 +63,7 @@
     "id": "JhJAJb1m-nkn"
    },
    "source": [
-    "## 1. Reading and Displaying Data from the First File\n",
+    "## 1. Read and Displaying Data from the First File\n",
     "\n",
     "With the list of the relevant `inflammation_xx.csv` file paths above, write a program to read the `inflammation_xx.csv` files, and display the contents of the first file in this list.\n",
     "\n",
@@ -76,8 +76,145 @@
    "metadata": {
     "id": "n0m48JsS-nMC"
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "0,0,1,3,1,2,4,7,8,3,3,3,10,5,7,4,7,7,12,18,6,13,11,11,7,7,4,6,8,8,4,4,5,7,3,4,2,3,0,0\n",
+      "\n",
+      "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",
+      "\n",
+      "0,1,1,3,3,2,6,2,5,9,5,7,4,5,4,15,5,11,9,10,19,14,12,17,7,12,11,7,4,2,10,5,4,2,2,3,2,2,1,1\n",
+      "\n",
+      "0,0,2,0,4,2,2,1,6,7,10,7,9,13,8,8,15,10,10,7,17,4,4,7,6,15,6,4,9,11,3,5,6,3,3,4,2,3,2,1\n",
+      "\n",
+      "0,1,1,3,3,1,3,5,2,4,4,7,6,5,3,10,8,10,6,17,9,14,9,7,13,9,12,6,7,7,9,6,3,2,2,4,2,0,1,1\n",
+      "\n",
+      "0,0,1,2,2,4,2,1,6,4,7,6,6,9,9,15,4,16,18,12,12,5,18,9,5,3,10,3,12,7,8,4,7,3,5,4,4,3,2,1\n",
+      "\n",
+      "0,0,2,2,4,2,2,5,5,8,6,5,11,9,4,13,5,12,10,6,9,17,15,8,9,3,13,7,8,2,8,8,4,2,3,5,4,1,1,1\n",
+      "\n",
+      "0,0,1,2,3,1,2,3,5,3,7,8,8,5,10,9,15,11,18,19,20,8,5,13,15,10,6,10,6,7,4,9,3,5,2,5,3,2,2,1\n",
+      "\n",
+      "0,0,0,3,1,5,6,5,5,8,2,4,11,12,10,11,9,10,17,11,6,16,12,6,8,14,6,13,10,11,4,6,4,7,6,3,2,1,0,0\n",
+      "\n",
+      "0,1,1,2,1,3,5,3,5,8,6,8,12,5,13,6,13,8,16,8,18,15,16,14,12,7,3,8,9,11,2,5,4,5,1,4,1,2,0,0\n",
+      "\n",
+      "0,1,0,0,4,3,3,5,5,4,5,8,7,10,13,3,7,13,15,18,8,15,15,16,11,14,12,4,10,10,4,3,4,5,5,3,3,2,2,1\n",
+      "\n",
+      "0,1,0,0,3,4,2,7,8,5,2,8,11,5,5,8,14,11,6,11,9,16,18,6,12,5,4,3,5,7,8,3,5,4,5,5,4,0,1,1\n",
+      "\n",
+      "0,0,2,1,4,3,6,4,6,7,9,9,3,11,6,12,4,17,13,15,13,12,8,7,4,7,12,9,5,6,5,4,7,3,5,4,2,3,0,1\n",
+      "\n",
+      "0,0,0,0,1,3,1,6,6,5,5,6,3,6,13,3,10,13,9,16,15,9,11,4,6,4,11,11,12,3,5,8,7,4,6,4,1,3,0,0\n",
+      "\n",
+      "0,1,2,1,1,1,4,1,5,2,3,3,10,7,13,5,7,17,6,9,12,13,10,4,12,4,6,7,6,10,8,2,5,1,3,4,2,0,2,0\n",
+      "\n",
+      "0,1,1,0,1,2,4,3,6,4,7,5,5,7,5,10,7,8,18,17,9,8,12,11,11,11,14,6,11,2,10,9,5,6,5,3,4,2,2,0\n",
+      "\n",
+      "0,0,0,0,2,3,6,5,7,4,3,2,10,7,9,11,12,5,12,9,13,19,14,17,5,13,8,11,5,10,9,8,7,5,3,1,4,0,2,1\n",
+      "\n",
+      "0,0,0,1,2,1,4,3,6,7,4,2,12,6,12,4,14,7,8,14,13,19,6,9,12,6,4,13,6,7,2,3,6,5,4,2,3,0,1,0\n",
+      "\n",
+      "0,0,2,1,2,5,4,2,7,8,4,7,11,9,8,11,15,17,11,12,7,12,7,6,7,4,13,5,7,6,6,9,2,1,1,2,2,0,1,0\n",
+      "\n",
+      "0,1,2,0,1,4,3,2,2,7,3,3,12,13,11,13,6,5,9,16,9,19,16,11,8,9,14,12,11,9,6,6,6,1,1,2,4,3,1,1\n",
+      "\n",
+      "0,1,1,3,1,4,4,1,8,2,2,3,12,12,10,15,13,6,5,5,18,19,9,6,11,12,7,6,3,6,3,2,4,3,1,5,4,2,2,0\n",
+      "\n",
+      "0,0,2,3,2,3,2,6,3,8,7,4,6,6,9,5,12,12,8,5,12,10,16,7,14,12,5,4,6,9,8,5,6,6,1,4,3,0,2,0\n",
+      "\n",
+      "0,0,0,3,4,5,1,7,7,8,2,5,12,4,10,14,5,5,17,13,16,15,13,6,12,9,10,3,3,7,4,4,8,2,6,5,1,0,1,0\n",
+      "\n",
+      "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",
+      "\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",
+      "\n",
+      "0,0,2,1,3,3,2,7,4,4,3,8,12,9,12,9,5,16,8,17,7,11,14,7,13,11,7,12,12,7,8,5,7,2,2,4,1,1,1,0\n",
+      "\n",
+      "0,0,1,2,4,2,2,3,5,7,10,5,5,12,3,13,4,13,7,15,9,12,18,14,16,12,3,11,3,2,7,4,8,2,2,1,3,0,1,1\n",
+      "\n",
+      "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",
+      "\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",
+      "\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",
+      "\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",
+      "\n",
+      "0,0,2,3,3,4,5,3,6,7,10,5,10,13,14,3,8,10,9,9,19,15,15,6,8,8,11,5,5,7,3,6,6,4,5,2,2,3,0,0\n",
+      "\n",
+      "0,1,2,2,2,3,6,6,6,7,6,3,11,12,13,15,15,10,14,11,11,8,6,12,10,5,12,7,7,11,5,8,5,2,5,5,2,0,2,1\n",
+      "\n",
+      "0,0,2,1,3,5,6,7,5,8,9,3,12,10,12,4,12,9,13,10,10,6,10,11,4,15,13,7,3,4,2,9,7,2,4,2,1,2,1,1\n",
+      "\n",
+      "0,0,1,2,4,1,5,5,2,3,4,8,8,12,5,15,9,17,7,19,14,18,12,17,14,4,13,13,8,11,5,6,6,2,3,5,2,1,1,1\n",
+      "\n",
+      "0,0,0,3,1,3,6,4,3,4,8,3,4,8,3,11,5,7,10,5,15,9,16,17,16,3,8,9,8,3,3,9,5,1,6,5,4,2,2,0\n",
+      "\n",
+      "0,1,2,2,2,5,5,1,4,6,3,6,5,9,6,7,4,7,16,7,16,13,9,16,12,6,7,9,10,3,6,4,5,4,6,3,4,3,2,1\n",
+      "\n",
+      "0,1,1,2,3,1,5,1,2,2,5,7,6,6,5,10,6,7,17,13,15,16,17,14,4,4,10,10,10,11,9,9,5,4,4,2,1,0,1,0\n",
+      "\n",
+      "0,1,0,3,2,4,1,1,5,9,10,7,12,10,9,15,12,13,13,6,19,9,10,6,13,5,13,6,7,2,5,5,2,1,1,1,1,3,0,1\n",
+      "\n",
+      "0,1,1,3,1,1,5,5,3,7,2,2,3,12,4,6,8,15,16,16,15,4,14,5,13,10,7,10,6,3,2,3,6,3,3,5,4,3,2,1\n",
+      "\n",
+      "0,0,0,2,2,1,3,4,5,5,6,5,5,12,13,5,7,5,11,15,18,7,9,10,14,12,11,9,10,3,2,9,6,2,2,5,3,0,0,1\n",
+      "\n",
+      "0,0,1,3,3,1,2,1,8,9,2,8,10,3,8,6,10,13,11,17,19,6,4,11,6,12,7,5,5,4,4,8,2,6,6,4,2,2,0,0\n",
+      "\n",
+      "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",
+      "\n",
+      "0,0,1,3,1,4,3,6,7,8,5,7,11,3,6,11,6,10,6,19,18,14,6,10,7,9,8,5,8,3,10,2,5,1,5,4,2,1,0,1\n",
+      "\n",
+      "0,1,1,3,3,4,4,6,3,4,9,9,7,6,8,15,12,15,6,11,6,18,5,14,15,12,9,8,3,6,10,6,8,7,2,5,4,3,1,1\n",
+      "\n",
+      "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",
+      "\n",
+      "0,0,2,3,4,5,4,6,2,9,7,4,9,10,8,11,16,12,15,17,19,10,18,13,15,11,8,4,7,11,6,7,6,5,1,3,1,0,0,0\n",
+      "\n",
+      "0,1,1,3,1,4,6,2,8,2,10,3,11,9,13,15,5,15,6,10,10,5,14,15,12,7,4,5,11,4,6,9,5,6,1,1,2,1,2,1\n",
+      "\n",
+      "0,0,1,3,2,5,1,2,7,6,6,3,12,9,4,14,4,6,12,9,12,7,11,7,16,8,13,6,7,6,10,7,6,3,1,5,4,3,0,0\n",
+      "\n",
+      "0,0,1,2,3,4,5,7,5,4,10,5,12,12,5,4,7,9,18,16,16,10,15,15,10,4,3,7,5,9,4,6,2,4,1,4,2,2,2,1\n",
+      "\n",
+      "0,1,2,1,1,3,5,3,6,3,10,10,11,10,13,10,13,6,6,14,5,4,5,5,9,4,12,7,7,4,7,9,3,3,6,3,4,1,2,0\n",
+      "\n",
+      "0,1,2,2,3,5,2,4,5,6,8,3,5,4,3,15,15,12,16,7,20,15,12,8,9,6,12,5,8,3,8,5,4,1,3,2,1,3,1,0\n",
+      "\n",
+      "0,0,0,2,4,4,5,3,3,3,10,4,4,4,14,11,15,13,10,14,11,17,9,11,11,7,10,12,10,10,10,8,7,5,2,2,4,1,2,1\n",
+      "\n",
+      "0,0,2,1,1,4,4,7,2,9,4,10,12,7,6,6,11,12,9,15,15,6,6,13,5,12,9,6,4,7,7,6,5,4,1,4,2,2,2,1\n",
+      "\n",
+      "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",
+      "\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",
+      "\n",
+      "0,1,1,2,2,5,1,7,4,2,5,5,4,6,6,4,16,11,14,16,14,14,8,17,4,14,13,7,6,3,7,7,5,6,3,4,2,2,1,1\n",
+      "\n",
+      "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",
+      "\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",
+      "\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",
+      "\n"
+     ]
+    }
+   ],
    "source": [
+    "'''Python program to evaluate the effectiveness of a medication got reducing arthritis inflammation flare-ups. \n",
+    "Data from 60 patients, across 40 days for 12 session files is available.\n",
+    "User can select and display session data, one file at a time (Part 1).\n",
+    "Summary statistics (mean, max, and min) are calulated by patient record (Part 2).\n",
+    "Program returns an bool value of True if an irregularity exists in the pateient data (Part 3).\n",
+    "Data irregularity is defined as a session file with one or more patient data with a mean inflammation of zero.\n",
+    "'''\n",
+    "\n",
+    "# Part 1: Display data from selected file in named file path\n",
+    "\n",
     "all_paths = [\n",
     "  \"../../05_src/data/assignment_2_data/inflammation_01.csv\",\n",
     "  \"../../05_src/data/assignment_2_data/inflammation_02.csv\",\n",
@@ -94,9 +231,13 @@
     "]\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"
+    "    # Read the .csv file into the variable file_contents\n",
+    "  file_contents = f.readlines()\n",
+    "\n",
+    "    # Iterate through the variable file_contents using a for loop and print each row for inspection\n",
+    "    # Use \"for row in\"command to print list items in rows for inspection ease\n",
+    "  for row in file_contents:\n",
+    "      print(row)\n"
    ]
   },
   {
@@ -136,27 +277,36 @@
    },
    "outputs": [],
    "source": [
+    "# Part 2: Use Python numpy library to calculate three summary statistics on a speccified patient (n) by day (p) session (file) within a function named patient_summary\n",
+    "\n",
+    "# Import Numerical Python into this program application under the np alias\n",
     "import numpy as np\n",
     "\n",
+    "# Create a function named patient_summary to compute summary statistics for each patient's data over a 40-day period for the file session specified in Part 1\n",
     "def patient_summary(file_path, operation):\n",
     "    data = np.loadtxt(fname=file_path, delimiter=',') # Load the data from the file\n",
     "    ax = 1  # This specifies that the operation should be done for each row (patient)\n",
     "\n",
     "    # Implement the specific operation based on the 'operation' argument\n",
+    "    # Use the mean, max, and min numpy summary operations for each patient over 40 days\n",
     "    if operation == 'mean':\n",
-    "        # YOUR CODE HERE: Calculate the mean (average) number of flare-ups for each patient\n",
+    "        # Calculate the mean (average) number of flare-ups for each patient\n",
+    "        summary_values = np.mean(data, axis=1)\n",
     "\n",
     "    elif operation == 'max':\n",
-    "        # YOUR CODE HERE: Calculate the maximum number of flare-ups experienced by each patient\n",
+    "        # Calculate the maximum number of flare-ups experienced by each patient\n",
+    "        summary_values = np.max(data, axis=1)\n",
     "\n",
     "    elif operation == 'min':\n",
-    "        # YOUR CODE HERE: Calculate the minimum number of flare-ups experienced by each patient\n",
+    "        # Calculate the minimum number of flare-ups experienced by each patient\n",
+    "        summary_values = np.min(data, axis=1)\n",
     "\n",
     "    else:\n",
     "        # If the operation is not one of the expected values, raise an error\n",
     "        raise ValueError(\"Invalid operation. Please choose 'mean', 'max', or 'min'.\")\n",
     "\n",
-    "    return summary_values"
+    "    return summary_values\n",
+    "        "
    ]
   },
   {
@@ -165,9 +315,17 @@
    "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",
+    "# Test data file output to ensure the size is what we expect (i.e., 60)\n",
     "# Your output for the first file should be 60\n",
     "data_min = patient_summary(all_paths[0], 'min')\n",
     "print(len(data_min))"
@@ -234,7 +392,7 @@
    },
    "outputs": [],
    "source": [
-    "# Run this cell so you can use this helper function\n",
+    "# Run this cell to use it as helper function in Part 3\n",
     "\n",
     "def check_zeros(x):\n",
     "    '''\n",
@@ -257,23 +415,39 @@
    },
    "outputs": [],
    "source": [
-    "# Define your function `detect_problems` here\n",
+    "# Part 3: Evaluate if the session file contains one or more patient mean inflammation scores of zero.\n",
     "\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",
-    "\n",
-    "  return"
+    "  # Use the patient_summary() fucntion to get the session patient mean scores and use the check_zeros() to evaluate whether at least one or more patient man scores > 0\n",
+    "  # Read patient data from the session file, specified in the Part 1 file_path\n",
+    "  # Assign the patient_summary mean operation value to mean_result\n",
+    "  mean_result = patient_summary(file_path, operation = 'mean')\n",
+    "\n",
+    "  # Use check-zeros output to decide if the mean_result function evaluates as True (at least one patient mean inflammation score in the array is equal to zero)\n",
+    "  return check_zeros(mean_result)\n",
+    "   "
    ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "False"
+      ]
+     },
+     "execution_count": 17,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
-    "# Test out your code here\n",
-    "# Your output for the first file should be False\n",
-    "print(detect_problems(all_paths[0]))"
+    "# The detect_problems function returns a check_zeros bool value = True if an irregularity exists in the pateient data;\n",
+    "# Otherwise, check_zeros bool value = False\n",
+    "detect_problems(all_paths[0])"
    ]
   },
   {
@@ -314,7 +488,8 @@
    "provenance": []
   },
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "python-env",
+   "language": "python",
    "name": "python3"
   },
   "language_info": {
@@ -327,7 +502,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.8"
+   "version": "3.11.13"
   }
  },
  "nbformat": 4,