From 5ba3414a3303c45a9a7c0c90c5b595f1d87dcccf Mon Sep 17 00:00:00 2001 From: Ayesha R Date: Sun, 19 Oct 2025 18:23:03 -0400 Subject: [PATCH 1/5] solutions added for P1 & P2 --- 02_activities/assignments/assignment_1.ipynb | 111 ++++++++++++++++--- 1 file changed, 95 insertions(+), 16 deletions(-) diff --git a/02_activities/assignments/assignment_1.ipynb b/02_activities/assignments/assignment_1.ipynb index bee48d5a0..904eb79aa 100644 --- a/02_activities/assignments/assignment_1.ipynb +++ b/02_activities/assignments/assignment_1.ipynb @@ -26,9 +26,9 @@ " * Open a private window in your browser. Copy and paste the link to your pull request into the address bar. Make sure you can see your pull request properly. This helps the technical facilitator and learning support staff review your submission easily.\n", "\n", "Checklist:\n", - "- [ ] Created a branch with the correct naming convention.\n", - "- [ ] Ensured that the repository is public.\n", - "- [ ] Reviewed the PR description guidelines and adhered to them.\n", + "- [X] Created a branch with the correct naming convention.\n", + "- [X] Ensured that the repository is public.\n", + "- [X] Reviewed the PR description guidelines and adhered to them.\n", "- [ ] Verify that the link is accessible in a private browser window.\n", "\n", "If you encounter any difficulties or have questions, please don't hesitate to reach out to our team via our Slack at `#dc-help`. Our Technical Facilitators and Learning Support staff are here to help you navigate any challenges." @@ -56,13 +56,32 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 38, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "True" + ] + }, + "execution_count": 38, + "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", + " ''' sorts word_a and word_b and checks if they are anagrams\n", + " word_a & word_b are strings \n", + " '''\n", + " \n", + " word_a = word_a.lower()\n", + " word_b = word_b.lower()\n", + "\n", + " return(sorted(word_a) == sorted(word_b))\n", + "\n", "\n", "# Run your code to check using the words below:\n", "anagram_checker(\"Silent\", \"listen\")" @@ -70,18 +89,40 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 39, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "False" + ] + }, + "execution_count": 39, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "anagram_checker(\"Silent\", \"Night\")" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 40, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "True" + ] + }, + "execution_count": 40, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "anagram_checker(\"night\", \"Thing\")" ] @@ -99,10 +140,37 @@ "cell_type": "code", "execution_count": null, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "True" + ] + }, + "execution_count": 50, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "def anagram_checker(word_a, word_b, is_case_sensitive):\n", - " # Modify your existing code here\n", + " '''\n", + " Sorts word_a and word_b and checks if they are anagrams\n", + " word_a & word_b are strings\n", + " is_case_sensitive is a boolean (True = consider case, False = ignore case)\n", + " '''\n", + " \n", + " # Only convert to lowercase if not case-sensitive\n", + " if not is_case_sensitive:\n", + " word_a = word_a.lower()\n", + " word_b = word_b.lower()\n", + "\n", + " return(sorted(word_a) == sorted(word_b)) \n", + " \n", + " else:\n", + " \n", + " return(sorted(word_a) == sorted(word_b)) \n", + " \n", "\n", "# Run your code to check using the words below:\n", "anagram_checker(\"Silent\", \"listen\", False) # True" @@ -110,9 +178,20 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 49, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "False" + ] + }, + "execution_count": 49, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "anagram_checker(\"Silent\", \"Listen\", True) # False" ] @@ -130,7 +209,7 @@ ], "metadata": { "kernelspec": { - "display_name": "new-learner", + "display_name": "Python 3", "language": "python", "name": "python3" }, @@ -144,7 +223,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.11.8" + "version": "3.9.6" } }, "nbformat": 4, From 4184612336c8b4809ff6965bf1f1d2c436d7c528 Mon Sep 17 00:00:00 2001 From: Ayesha R Date: Sun, 26 Oct 2025 13:08:40 -0400 Subject: [PATCH 2/5] finished Q1: read & display data --- 02_activities/assignments/assignment_1.ipynb | 2 +- 02_activities/assignments/assignment_2.ipynb | 199 ++++++++++++++++++- 2 files changed, 193 insertions(+), 8 deletions(-) diff --git a/02_activities/assignments/assignment_1.ipynb b/02_activities/assignments/assignment_1.ipynb index 904eb79aa..94a0de59b 100644 --- a/02_activities/assignments/assignment_1.ipynb +++ b/02_activities/assignments/assignment_1.ipynb @@ -29,7 +29,7 @@ "- [X] Created a branch with the correct naming convention.\n", "- [X] Ensured that the repository is public.\n", "- [X] Reviewed the PR description guidelines and adhered to them.\n", - "- [ ] Verify that the link is accessible in a private browser window.\n", + "- [X] Verify that the link is accessible in a private browser window.\n", "\n", "If you encounter any difficulties or have questions, please don't hesitate to reach out to our team via our Slack at `#dc-help`. Our Technical Facilitators and Learning Support staff are here to help you navigate any challenges." ] diff --git a/02_activities/assignments/assignment_2.ipynb b/02_activities/assignments/assignment_2.ipynb index 36a3e2bb7..50a56bd66 100644 --- a/02_activities/assignments/assignment_2.ipynb +++ b/02_activities/assignments/assignment_2.ipynb @@ -39,8 +39,8 @@ " * Open a private window in your browser. Copy and paste the link to your pull request into the address bar. Make sure you can see your pull request properly. This helps the technical facilitator and learning support staff review your submission easily.\n", "\n", "Checklist:\n", - "- [ ] Created a branch with the correct naming convention.\n", - "- [ ] Ensured that the repository is public.\n", + "- [X] Created a branch with the correct naming convention.\n", + "- [X] Ensured that the repository is public.\n", "- [ ] Reviewed the PR description guidelines and adhered to them.\n", "- [ ] Verify that the link is accessible in a private browser window.\n", "\n", @@ -72,11 +72,138 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 8, "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", + 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"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": [ "all_paths = [\n", " \"../../05_src/data/assignment_2_data/inflammation_01.csv\",\n", @@ -95,10 +222,68 @@ "\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" + " inflammation = f.readlines() \n", + " # YOUR CODE HERE: Iterate through the variable using a for loop and print each row for inspection\n", + " for row in inflammation:\n", + " print(row)" ] }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, { "cell_type": "markdown", "metadata": { @@ -327,7 +512,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.11.8" + "version": "3.9.6" } }, "nbformat": 4, From 431f3b1edccccb661a7da9556cb18ae472cbae60 Mon Sep 17 00:00:00 2001 From: Ayesha R Date: Sun, 26 Oct 2025 13:58:32 -0400 Subject: [PATCH 3/5] Q2 patient summary function added --- 02_activities/assignments/assignment_2.ipynb | 85 +++++--------------- 1 file changed, 18 insertions(+), 67 deletions(-) diff --git a/02_activities/assignments/assignment_2.ipynb b/02_activities/assignments/assignment_2.ipynb index 50a56bd66..309b30919 100644 --- a/02_activities/assignments/assignment_2.ipynb +++ b/02_activities/assignments/assignment_2.ipynb @@ -72,7 +72,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": null, "metadata": { "id": "n0m48JsS-nMC" }, @@ -221,69 +221,13 @@ "]\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", + " # readlines() method reads the .csv file into a variable\n", " inflammation = f.readlines() \n", - " # YOUR CODE HERE: Iterate through the variable using a for loop and print each row for inspection\n", + " # Iterate through the variable using a for loop and print each row for inspection\n", " for row in inflammation:\n", " print(row)" ] }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, { "cell_type": "markdown", "metadata": { @@ -315,7 +259,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 27, "metadata": { "id": "82-bk4CBB1w4" }, @@ -326,17 +270,16 @@ "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", " if operation == 'mean':\n", - " # YOUR CODE HERE: Calculate the mean (average) number of flare-ups for each patient\n", - "\n", + " # Calculate the mean (average) number of flare-ups for each patient\n", + " summary_values = data.mean(axis=1)\n", " elif operation == 'max':\n", " # YOUR CODE HERE: Calculate the maximum number of flare-ups experienced by each patient\n", - "\n", + " summary_values = data.max(axis=1)\n", " elif operation == 'min':\n", " # YOUR CODE HERE: Calculate the minimum number of flare-ups experienced by each patient\n", - "\n", + " summary_values = data.min(axis=1)\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", @@ -346,11 +289,19 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 31, "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", From 9e3598f6b0e6b37b3a14bf6715a8699f15b98951 Mon Sep 17 00:00:00 2001 From: Ayesha R Date: Sun, 26 Oct 2025 14:14:09 -0400 Subject: [PATCH 4/5] Q3 detect problems function added --- 02_activities/assignments/assignment_2.ipynb | 31 ++++++++++++++++---- 1 file changed, 25 insertions(+), 6 deletions(-) diff --git a/02_activities/assignments/assignment_2.ipynb b/02_activities/assignments/assignment_2.ipynb index 309b30919..af0edec16 100644 --- a/02_activities/assignments/assignment_2.ipynb +++ b/02_activities/assignments/assignment_2.ipynb @@ -259,7 +259,7 @@ }, { "cell_type": "code", - "execution_count": 27, + "execution_count": null, "metadata": { "id": "82-bk4CBB1w4" }, @@ -268,6 +268,10 @@ "import numpy as np\n", "\n", "def patient_summary(file_path, operation):\n", + " '''\n", + " Given .csv file and operation 'mean', 'max', 'min', calculates value for each row.\n", + " Returns value for each row. \n", + " '''\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", " # Implement the specific operation based on the 'operation' argument\n", @@ -364,7 +368,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 32, "metadata": { "id": "_svDiRkdIwiT" }, @@ -396,16 +400,31 @@ "# Define your function `detect_problems` here\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", + " Given .csv, calculates mean of each row then checks if any means are equal to 0.\n", + " Returns True if any means are 0, else returns False. \n", + " '''\n", + " #Use patient_summary() to get the means and check_zeros() to check for zeros in the means\n", + " patient_means = patient_summary(file_path, 'mean')\n", "\n", - " return" + " has_zeros = check_zeros(patient_means)\n", + "\n", + " return(has_zeros)" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 48, "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", From 061dcf0f47cbfed491d7833a7b16430253377373 Mon Sep 17 00:00:00 2001 From: Ayesha R Date: Sun, 26 Oct 2025 14:17:04 -0400 Subject: [PATCH 5/5] python assignment 2 completed --- 02_activities/assignments/assignment_2.ipynb | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/02_activities/assignments/assignment_2.ipynb b/02_activities/assignments/assignment_2.ipynb index af0edec16..e8764f5f3 100644 --- a/02_activities/assignments/assignment_2.ipynb +++ b/02_activities/assignments/assignment_2.ipynb @@ -41,8 +41,8 @@ "Checklist:\n", "- [X] Created a branch with the correct naming convention.\n", "- [X] Ensured that the repository is public.\n", - "- [ ] Reviewed the PR description guidelines and adhered to them.\n", - "- [ ] Verify that the link is accessible in a private browser window.\n", + "- [X] Reviewed the PR description guidelines and adhered to them.\n", + "- [X] Verify that the link is accessible in a private browser window.\n", "\n", "If you encounter any difficulties or have questions, please don't hesitate to reach out to our team via our Slack at `#dc-help`. Our Technical Facilitators and Learning Support staff are here to help you navigate any challenges." ]