From 62c66531095ef182823736ebb0122e7b169ed952 Mon Sep 17 00:00:00 2001 From: Surbhi Date: Sat, 3 May 2025 00:00:50 -0400 Subject: [PATCH 1/3] Completed Anagram Checker Assignment 1 --- 02_activities/assignments/assignment_1.ipynb | 98 +++++++++++++++++--- 1 file changed, 85 insertions(+), 13 deletions(-) diff --git a/02_activities/assignments/assignment_1.ipynb b/02_activities/assignments/assignment_1.ipynb index bd82b6b8..a2d3001d 100644 --- a/02_activities/assignments/assignment_1.ipynb +++ b/02_activities/assignments/assignment_1.ipynb @@ -56,32 +56,68 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 1, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "True" + ] + }, + "execution_count": 1, + "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", + " word_a = word_a.lower()\n", + " word_b = word_b.lower()\n", "\n", + " return sorted(word_a) == sorted (word_b)\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\")" ] @@ -97,12 +133,30 @@ }, { "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": [ "def anagram_checker(word_a, word_b, is_case_sensitive):\n", " # Modify your existing code here\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", + "\n", "\n", "# Run your code to check using the words below:\n", "anagram_checker(\"Silent\", \"listen\", False) # True" @@ -110,9 +164,20 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 5, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "False" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "anagram_checker(\"Silent\", \"Listen\", True) # False" ] @@ -126,11 +191,18 @@ "|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": null, + "metadata": {}, + "outputs": [], + "source": [] } ], "metadata": { "kernelspec": { - "display_name": "new-learner", + "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, @@ -144,9 +216,9 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.11.8" + "version": "3.12.9" } }, "nbformat": 4, - "nbformat_minor": 2 + "nbformat_minor": 4 } From c2358c47e710f2480cb0dd6fcdd6985bc3c26af4 Mon Sep 17 00:00:00 2001 From: Surbhim21 Date: Thu, 8 May 2025 22:35:19 -0400 Subject: [PATCH 2/3] Revert "Completed Anagram Checker Assignment 1" --- 02_activities/assignments/assignment_1.ipynb | 98 +++----------------- 1 file changed, 13 insertions(+), 85 deletions(-) diff --git a/02_activities/assignments/assignment_1.ipynb b/02_activities/assignments/assignment_1.ipynb index a2d3001d..bd82b6b8 100644 --- a/02_activities/assignments/assignment_1.ipynb +++ b/02_activities/assignments/assignment_1.ipynb @@ -56,68 +56,32 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "True" - ] - }, - "execution_count": 1, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "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", - " word_a = word_a.lower()\n", - " word_b = word_b.lower()\n", "\n", - " return sorted(word_a) == sorted (word_b)\n", "# Run your code to check using the words below:\n", "anagram_checker(\"Silent\", \"listen\")" ] }, { "cell_type": "code", - "execution_count": 2, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "False" - ] - }, - "execution_count": 2, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "anagram_checker(\"Silent\", \"Night\")" ] }, { "cell_type": "code", - "execution_count": 3, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "True" - ] - }, - "execution_count": 3, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "anagram_checker(\"night\", \"Thing\")" ] @@ -133,30 +97,12 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "True" - ] - }, - "execution_count": 4, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "def anagram_checker(word_a, word_b, is_case_sensitive):\n", " # Modify your existing code here\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", - "\n", "\n", "# Run your code to check using the words below:\n", "anagram_checker(\"Silent\", \"listen\", False) # True" @@ -164,20 +110,9 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "False" - ] - }, - "execution_count": 5, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "anagram_checker(\"Silent\", \"Listen\", True) # False" ] @@ -191,18 +126,11 @@ "|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": null, - "metadata": {}, - "outputs": [], - "source": [] } ], "metadata": { "kernelspec": { - "display_name": "Python 3 (ipykernel)", + "display_name": "new-learner", "language": "python", "name": "python3" }, @@ -216,9 +144,9 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.12.9" + "version": "3.11.8" } }, "nbformat": 4, - "nbformat_minor": 4 + "nbformat_minor": 2 } From b401f079bdb69d13e6969ab616a27ee0b1973506 Mon Sep 17 00:00:00 2001 From: Surbhi Date: Sat, 10 May 2025 13:45:50 -0400 Subject: [PATCH 3/3] Completed assignment --- 02_activities/assignments/assignment_2.ipynb | 235 +++++++++++++++++-- 1 file changed, 210 insertions(+), 25 deletions(-) diff --git a/02_activities/assignments/assignment_2.ipynb b/02_activities/assignments/assignment_2.ipynb index b98c21c6..1793306f 100644 --- 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\"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", + " r\"C:\\Users\\sunny\\python\\05_src\\data\\assignment_2_data\\inflammation_01.csv\",\n", + " r\"C:\\Users\\sunny\\python\\05_src\\data\\assignment_2_data\\inflammation_02.csv\",\n", + " r\"C:\\Users\\sunny\\python\\05_src\\data\\assignment_2_data\\inflammation_03.csv\",\n", + " r\"C:\\Users\\sunny\\python\\05_src\\data\\assignment_2_data\\inflammation_04.csv\",\n", + " r\"C:\\Users\\sunny\\python\\05_src\\data\\assignment_2_data\\inflammation_05.csv\",\n", + " r\"C:\\Users\\sunny\\python\\05_src\\data\\assignment_2_data\\inflammation_06.csv\",\n", + " r\"C:\\Users\\sunny\\python\\05_src\\data\\assignment_2_data\\inflammation_07.csv\",\n", + " r\"C:\\Users\\sunny\\python\\05_src\\data\\assignment_2_data\\inflammation_08.csv\",\n", + " r\"C:\\Users\\sunny\\python\\05_src\\data\\assignment_2_data\\inflammation_09.csv\",\n", + " r\"C:\\Users\\sunny\\python\\05_src\\data\\assignment_2_data\\inflammation_10.csv\",\n", + " r\"C:\\Users\\sunny\\python\\05_src\\data\\assignment_2_data\\inflammation_11.csv\",\n", + " r\"C:\\Users\\sunny\\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" + " print(f.readline())\n", + " # YOUR CODE HERE: Iterate through the variable using a for loop and print each row for inspection\n", + " for i in range(60):\n", + " print(f.readline())\n" ] }, { @@ -145,12 +275,15 @@ " # 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 = np.mean (data, 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 = np.max (data, 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 = np.min (data, axis = ax)\n", "\n", " else:\n", " # If the operation is not one of the expected values, raise an error\n", @@ -161,11 +294,19 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 41, "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", @@ -228,7 +369,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 42, "metadata": { "id": "_svDiRkdIwiT" }, @@ -251,7 +392,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 85, "metadata": { "id": "LEYPM5v4JT0i" }, @@ -261,15 +402,24 @@ "\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", + " data_mean = patient_summary(file_path, 'mean')\n", "\n", - " return" + " return check_zeros(data_mean)" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 84, "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", @@ -307,6 +457,40 @@ "### Data Sources\n", "- Software Carpentry. _Python Novice Inflammation Data_. http://swcarpentry.github.io/python-novice-inflammation/data/python-novice-inflammation-data.zip\n" ] + }, + { + "cell_type": "code", + "execution_count": 83, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "C:\\Users\\sunny\\python\\05_src\\data\\assignment_2_data\\inflammation_01.csv → Problem Detected: False\n", + "C:\\Users\\sunny\\python\\05_src\\data\\assignment_2_data\\inflammation_02.csv → Problem Detected: False\n", + "C:\\Users\\sunny\\python\\05_src\\data\\assignment_2_data\\inflammation_03.csv → Problem Detected: True\n", + "C:\\Users\\sunny\\python\\05_src\\data\\assignment_2_data\\inflammation_04.csv → Problem Detected: False\n", + "C:\\Users\\sunny\\python\\05_src\\data\\assignment_2_data\\inflammation_05.csv → Problem Detected: False\n", + "C:\\Users\\sunny\\python\\05_src\\data\\assignment_2_data\\inflammation_06.csv → Problem Detected: False\n", + "C:\\Users\\sunny\\python\\05_src\\data\\assignment_2_data\\inflammation_07.csv → Problem Detected: False\n", + "C:\\Users\\sunny\\python\\05_src\\data\\assignment_2_data\\inflammation_08.csv → Problem Detected: True\n", + "C:\\Users\\sunny\\python\\05_src\\data\\assignment_2_data\\inflammation_09.csv → Problem Detected: False\n", + "C:\\Users\\sunny\\python\\05_src\\data\\assignment_2_data\\inflammation_10.csv → Problem Detected: False\n", + "C:\\Users\\sunny\\python\\05_src\\data\\assignment_2_data\\inflammation_11.csv → Problem Detected: True\n", + "C:\\Users\\sunny\\python\\05_src\\data\\assignment_2_data\\inflammation_12.csv → Problem Detected: False\n" + ] + } + ], + "source": [ + "for path in all_paths:\n", + " print(f\"{path} → Problem Detected: {detect_problems(path)}\")\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [] } ], "metadata": { @@ -314,7 +498,8 @@ "provenance": [] }, "kernelspec": { - "display_name": "Python 3", + "display_name": "dsi_participant", + "language": "python", "name": "python3" }, "language_info": { @@ -327,7 +512,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.11.8" + "version": "3.9.15" } }, "nbformat": 4,