From 4484b5e47b128702317418563e24c85a2b3c2ce9 Mon Sep 17 00:00:00 2001 From: Adriana Date: Fri, 9 May 2025 18:09:43 -0400 Subject: [PATCH 1/4] Changes based on recommendation --- 02_activities/assignments/assignment_1.ipynb | 90 +++++++++++++++++--- 1 file changed, 77 insertions(+), 13 deletions(-) diff --git a/02_activities/assignments/assignment_1.ipynb b/02_activities/assignments/assignment_1.ipynb index bd82b6b8b..436d5ecfe 100644 --- a/02_activities/assignments/assignment_1.ipynb +++ b/02_activities/assignments/assignment_1.ipynb @@ -56,13 +56,29 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 33, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "True" + ] + }, + "execution_count": 33, + "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", + " \n", + " word1=sorted(word_a.lower())\n", + " word2=sorted(word_b.lower())\n", + " return word1==word2\n", + " \n", "\n", "# Run your code to check using the words below:\n", "anagram_checker(\"Silent\", \"listen\")" @@ -70,18 +86,40 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 34, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "False" + ] + }, + "execution_count": 34, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "anagram_checker(\"Silent\", \"Night\")" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 35, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "True" + ] + }, + "execution_count": 35, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "anagram_checker(\"night\", \"Thing\")" ] @@ -97,12 +135,27 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 76, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "True" + ] + }, + "execution_count": 76, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "def anagram_checker(word_a, word_b, is_case_sensitive):\n", + "def anagram_checker(word_a, word_b, is_case_sensitive=True):\n", " # Modify your existing code here\n", + " word1=word_a if is_case_sensitive else word_a.lower()\n", + " word2=word_b if is_case_sensitive else word_b.lower()\n", + " return sorted(word1)==sorted(word2)\n", + " \n", "\n", "# Run your code to check using the words below:\n", "anagram_checker(\"Silent\", \"listen\", False) # True" @@ -110,9 +163,20 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 77, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "False" + ] + }, + "execution_count": 77, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "anagram_checker(\"Silent\", \"Listen\", True) # False" ] @@ -130,7 +194,7 @@ ], "metadata": { "kernelspec": { - "display_name": "new-learner", + "display_name": "dsi_participant", "language": "python", "name": "python3" }, @@ -144,7 +208,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.11.8" + "version": "3.9.15" } }, "nbformat": 4, From a82c115a18a9ba016ee2131b9e47fc3aec142d92 Mon Sep 17 00:00:00 2001 From: Adriana Date: Tue, 13 May 2025 16:55:21 -0400 Subject: [PATCH 2/4] Assignment2 has been completed --- 02_activities/assignments/assignment_2.ipynb | 96 +++++++++++++------- 1 file changed, 61 insertions(+), 35 deletions(-) diff --git a/02_activities/assignments/assignment_2.ipynb b/02_activities/assignments/assignment_2.ipynb index b98c21c65..1a6aca21e 100644 --- a/02_activities/assignments/assignment_2.ipynb +++ b/02_activities/assignments/assignment_2.ipynb @@ -72,31 +72,40 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 73, "metadata": { "id": "n0m48JsS-nMC" }, - "outputs": 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'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", - " \"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", - "]\n", - "\n", + "\"c:/users/Adriana/python/05_src/data/assignment_2_data/inflammation_01.csv\",\n", + "\"c:/users/Adriana/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", + "] \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.readlines())\n", + " # YOUR CODE HERE: Iterate through the variable using a for loop and print each row for inspection\n", + " for index, row_list in enumerate (f):\n", + " print (index,row_list)" ] }, { @@ -130,7 +139,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 74, "metadata": { "id": "82-bk4CBB1w4" }, @@ -141,31 +150,39 @@ "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", + " # 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", + " summary_values=data.mean(ax)\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(ax)\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(ax)\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", + " " ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 81, "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 +245,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 78, "metadata": { "id": "_svDiRkdIwiT" }, @@ -251,7 +268,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 95, "metadata": { "id": "LEYPM5v4JT0i" }, @@ -261,15 +278,23 @@ "\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" + " hascero=check_zeros(patient_summary)\n", + " return hascero" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 97, "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", @@ -314,7 +339,8 @@ "provenance": [] }, "kernelspec": { - "display_name": "Python 3", + "display_name": "dsi_participant", + "language": "python", "name": "python3" }, "language_info": { @@ -327,7 +353,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.11.8" + "version": "3.9.15" } }, "nbformat": 4, From ee40784aafe7c318a8659238eddbd9ef1a3181a3 Mon Sep 17 00:00:00 2001 From: Adriana Date: Fri, 16 May 2025 16:46:57 -0400 Subject: [PATCH 3/4] python_assignment2 --- 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 1a6aca21e..52c10e65f 100644 --- a/02_activities/assignments/assignment_2.ipynb +++ b/02_activities/assignments/assignment_2.ipynb @@ -284,7 +284,7 @@ }, { "cell_type": "code", - "execution_count": 97, + "execution_count": null, "metadata": {}, "outputs": [ { @@ -296,7 +296,7 @@ } ], "source": [ - "# Test out your code here\n", + "# Test out your code here_here\n", "# Your output for the first file should be False\n", "print(detect_problems(all_paths[0]))" ] From 28982b6db008d888775ac964da35cf51ed824649 Mon Sep 17 00:00:00 2001 From: Adriana Date: Fri, 6 Jun 2025 23:07:07 -0400 Subject: [PATCH 4/4] Revert assignment_1.ipynb to original version from main branch --- 02_activities/assignments/assignment_1.ipynb | 90 +++----------------- 1 file changed, 13 insertions(+), 77 deletions(-) diff --git a/02_activities/assignments/assignment_1.ipynb b/02_activities/assignments/assignment_1.ipynb index 436d5ecfe..bd82b6b8b 100644 --- a/02_activities/assignments/assignment_1.ipynb +++ b/02_activities/assignments/assignment_1.ipynb @@ -56,29 +56,13 @@ }, { "cell_type": "code", - "execution_count": 33, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "True" - ] - }, - "execution_count": 33, - "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", - " \n", - " word1=sorted(word_a.lower())\n", - " word2=sorted(word_b.lower())\n", - " return word1==word2\n", - " \n", "\n", "# Run your code to check using the words below:\n", "anagram_checker(\"Silent\", \"listen\")" @@ -86,40 +70,18 @@ }, { "cell_type": "code", - "execution_count": 34, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "False" - ] - }, - "execution_count": 34, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "anagram_checker(\"Silent\", \"Night\")" ] }, { "cell_type": "code", - "execution_count": 35, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "True" - ] - }, - "execution_count": 35, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "anagram_checker(\"night\", \"Thing\")" ] @@ -135,27 +97,12 @@ }, { "cell_type": "code", - "execution_count": 76, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "True" - ] - }, - "execution_count": 76, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ - "def anagram_checker(word_a, word_b, is_case_sensitive=True):\n", + "def anagram_checker(word_a, word_b, is_case_sensitive):\n", " # Modify your existing code here\n", - " word1=word_a if is_case_sensitive else word_a.lower()\n", - " word2=word_b if is_case_sensitive else word_b.lower()\n", - " return sorted(word1)==sorted(word2)\n", - " \n", "\n", "# Run your code to check using the words below:\n", "anagram_checker(\"Silent\", \"listen\", False) # True" @@ -163,20 +110,9 @@ }, { "cell_type": "code", - "execution_count": 77, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "False" - ] - }, - "execution_count": 77, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "anagram_checker(\"Silent\", \"Listen\", True) # False" ] @@ -194,7 +130,7 @@ ], "metadata": { "kernelspec": { - "display_name": "dsi_participant", + "display_name": "new-learner", "language": "python", "name": "python3" }, @@ -208,7 +144,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.15" + "version": "3.11.8" } }, "nbformat": 4,