diff --git a/01_materials/slides/provinces.txt b/01_materials/slides/provinces.txt new file mode 100644 index 000000000..794ada7c1 --- /dev/null +++ b/01_materials/slides/provinces.txt @@ -0,0 +1 @@ +BCABSKMBONQCNLNBNSPE \ No newline at end of file diff --git a/02_activities/assignments/assignment_1.ipynb b/02_activities/assignments/assignment_1.ipynb index 712158a61..e636e5e21 100644 --- a/02_activities/assignments/assignment_1.ipynb +++ b/02_activities/assignments/assignment_1.ipynb @@ -56,13 +56,28 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 7, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "True" + ] + }, + "execution_count": 7, + "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", + " '''Takes as inputs two strings word_a and word_b\n", + " returns True if they are anagrams and False otherwise.\n", + " Not case sensitive'''\n", + " return sorted(word_a.lower()) == sorted(word_b.lower()) \n", + " #converts both strings to lists of lowercase letters in alphabetic order\n", "\n", "# Run your code to check using the words below:\n", "anagram_checker(\"Silent\", \"listen\")" @@ -70,18 +85,40 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 8, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "False" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "anagram_checker(\"Silent\", \"Night\")" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 9, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "True" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "anagram_checker(\"night\", \"Thing\")" ] @@ -97,12 +134,32 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 12, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "True" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "def anagram_checker(word_a, word_b, is_case_sensitive):\n", - " # Modify your existing code here\n", + " '''Takes as inputs two strings word_a and word_b and a\n", + " Boolean is_case_sensitive.\n", + " Returns True if they are anagrams and False otherwise.\n", + " Is case sensitive if is_case_sensitive == True'''\n", + " if is_case_sensitive:\n", + " return sorted(word_a) == sorted(word_b) \n", + " # transforms each string into a list of letters order alphabetically\n", + " else:\n", + " return sorted(word_a.lower()) == sorted(word_b.lower()) \n", + " # makes the strings both lowercase to remove case sensitivity\n", "\n", "# Run your code to check using the words below:\n", "anagram_checker(\"Silent\", \"listen\", False) # True" @@ -110,9 +167,20 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 13, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "False" + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "anagram_checker(\"Silent\", \"Listen\", True) # False" ] @@ -130,7 +198,7 @@ ], "metadata": { "kernelspec": { - "display_name": "new-learner", + "display_name": "dsi_participant", "language": "python", "name": "python3" }, @@ -144,7 +212,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.11.8" + "version": "3.9.21" } }, "nbformat": 4, diff --git a/02_activities/assignments/assignment_2.ipynb b/02_activities/assignments/assignment_2.ipynb index b4a53186c..f851ed6b9 100644 --- a/02_activities/assignments/assignment_2.ipynb +++ b/02_activities/assignments/assignment_2.ipynb @@ -72,11 +72,138 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 13, "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", + 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"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": [ "all_paths = [\n", " \"python/05_src/data/assignment_2_data/inflammation_01.csv\",\n", @@ -94,9 +221,10 @@ "]\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", + " contents = f.readlines() # using the readlines() method to read the .csv file into a variable called 'contents'\n", " \n", - " # YOUR CODE HERE: Iterate through the variable using a for loop and print each row for inspection" + " for i in contents: # iterating through contents to print each row of the .csv file\n", + " print(i)" ] }, { @@ -130,7 +258,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 41, "metadata": { "id": "82-bk4CBB1w4" }, @@ -139,33 +267,47 @@ "import numpy as np\n", "\n", "def patient_summary(file_path, operation):\n", + " '''Takes two argument: file_path = the file path of a .csv file as a string\n", + " and operation = the name of an operation as a string, either mean, max, or min\n", + " then produces an array with number of rows = number of rows in the .csv file\n", + " and no columns, with the values being the operation applied column-wise\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", "\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", + " summary_values = data.mean(ax) # creates an columnless array with entries being the mean of each row\n", + "\n", "\n", " elif operation == 'max':\n", - " # YOUR CODE HERE: Calculate the maximum number of flare-ups experienced by each patient\n", + " summary_values = data.max(ax) # creates an columnless array with entries being the max of each row\n", "\n", " elif operation == 'min':\n", - " # YOUR CODE HERE: Calculate the minimum number of flare-ups experienced by each patient\n", + " summary_values = data.min(ax) # creates an columnless array with entries being the min of each row\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", + " # raises an error if the operation is not one of 'mean', 'max', or 'min'\n", "\n", " return summary_values" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 42, "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 +370,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 43, "metadata": { "id": "_svDiRkdIwiT" }, @@ -251,7 +393,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 44, "metadata": { "id": "LEYPM5v4JT0i" }, @@ -260,16 +402,27 @@ "# 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", - " return" + " ''' takes the file path of a .csv file as file_path and returns True if the mean of any row is 0.\n", + " '''\n", + " patient_mean = patient_summary(file_path, 'mean') # creates a new variable, patient_mean, which is the \n", + " # column-wise mean of the given .csv file\n", + " return check_zeros(patient_mean) # applies the check_zero function to patient_mean, returning True if any entry is\n", + " # zero and False otherwise" ] }, { "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", @@ -314,7 +467,8 @@ "provenance": [] }, "kernelspec": { - "display_name": "Python 3", + "display_name": "dsi_participant", + "language": "python", "name": "python3" }, "language_info": { @@ -327,7 +481,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.11.8" + "version": "3.9.21" } }, "nbformat": 4, diff --git a/02_activities/homework/01_data_types.ipynb b/02_activities/homework/01_data_types.ipynb index f60123d4b..a2651dc02 100644 --- a/02_activities/homework/01_data_types.ipynb +++ b/02_activities/homework/01_data_types.ipynb @@ -1 +1,211 @@ -{"cells":[{"cell_type":"markdown","metadata":{"id":"jNAI57ELh-I8"},"source":["# Getting Started: Python Fundamentals\n","## Practice Problems"]},{"cell_type":"markdown","metadata":{"id":"5xeRB_0jiT5n"},"source":["### 1. What types are involved in the following expressions? What data type will each expression evaluate to?\n","\n","`8 * 2.5`"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":158,"status":"ok","timestamp":1667929890889,"user":{"displayName":"Kaylie Lau","userId":"01284785813595846851"},"user_tz":300},"id":"C6c48sSBOUeE","outputId":"3628ffce-faf6-4d23-daff-5e09edf76541"},"outputs":[],"source":["# Your code here"]},{"cell_type":"markdown","metadata":{"id":"4eICUfHi_Z-K"},"source":["`9 / 2`"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":43,"status":"ok","timestamp":1667929891449,"user":{"displayName":"Kaylie Lau","userId":"01284785813595846851"},"user_tz":300},"id":"QVdbNoA2OiQ_","outputId":"ab9f4fac-b1cc-4afc-cc54-10592b92abb1"},"outputs":[],"source":["# Your code here"]},{"cell_type":"markdown","metadata":{"id":"DhrJoWbj_cNe"},"source":["`9 // -2`"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":39,"status":"ok","timestamp":1667929891450,"user":{"displayName":"Kaylie Lau","userId":"01284785813595846851"},"user_tz":300},"id":"cSsGq3r0Opx6","outputId":"13df11ef-d136-4a42-884e-be1e369aae52"},"outputs":[],"source":["# Your code here"]},{"cell_type":"markdown","metadata":{"id":"lW4UnVfw_eYy"},"source":["`1.5 * 2 >= 7 - 3`"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":34,"status":"ok","timestamp":1667929891452,"user":{"displayName":"Kaylie Lau","userId":"01284785813595846851"},"user_tz":300},"id":"54N6gcNPOylS","outputId":"938208fc-c4c3-4e58-dd18-b50d3acc84d8"},"outputs":[],"source":["# Your code here"]},{"cell_type":"markdown","metadata":{"id":"5T-ytiTw-KvJ"},"source":["### 2. In which order will the expressions be evaluated.\n","\n","`6 * 3 + 7 * 4`\n","\n","\n","
\n"," Answer\n","\n"," `*` > `*` > `+` \n","
\n","\n","\n","`5 - 2 * 3 ** 4`\n","\n","
\n"," Answer\n","\n"," `**` > `*` > `-`\n","
\n","\n","`(5 - 2) * 3 ** 4`\n","\n","
\n"," Answer\n","\n"," `(-)` > `**` > `*` \n","
\n","\n","`5 + 2 >= 3 * 4`\n","\n","
\n"," Answer\n","\n"," `*` > `+` > `>=`\n","
"]}],"metadata":{"colab":{"authorship_tag":"ABX9TyMhUBNX+UP2C+YDtVSxQKBK","collapsed_sections":[],"provenance":[]},"kernelspec":{"display_name":"Python 3","name":"python3"},"language_info":{"name":"python"}},"nbformat":4,"nbformat_minor":0} +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": { + "id": "jNAI57ELh-I8" + }, + "source": [ + "# Getting Started: Python Fundamentals\n", + "## Practice Problems" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "5xeRB_0jiT5n" + }, + "source": [ + "### 1. What types are involved in the following expressions? What data type will each expression evaluate to?\n", + "\n", + "`8 * 2.5`" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "executionInfo": { + "elapsed": 158, + "status": "ok", + "timestamp": 1667929890889, + "user": { + "displayName": "Kaylie Lau", + "userId": "01284785813595846851" + }, + "user_tz": 300 + }, + "id": "C6c48sSBOUeE", + "outputId": "3628ffce-faf6-4d23-daff-5e09edf76541" + }, + "outputs": [], + "source": [ + "type(8*2.5)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "4eICUfHi_Z-K" + }, + "source": [ + "`9 / 2`" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "executionInfo": { + "elapsed": 43, + "status": "ok", + "timestamp": 1667929891449, + "user": { + "displayName": "Kaylie Lau", + "userId": "01284785813595846851" + }, + "user_tz": 300 + }, + "id": "QVdbNoA2OiQ_", + "outputId": "ab9f4fac-b1cc-4afc-cc54-10592b92abb1" + }, + "outputs": [], + "source": [ + "# Your code here" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "DhrJoWbj_cNe" + }, + "source": [ + "`9 // -2`" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "executionInfo": { + "elapsed": 39, + "status": "ok", + "timestamp": 1667929891450, + "user": { + "displayName": "Kaylie Lau", + "userId": "01284785813595846851" + }, + "user_tz": 300 + }, + "id": "cSsGq3r0Opx6", + "outputId": "13df11ef-d136-4a42-884e-be1e369aae52" + }, + "outputs": [], + "source": [ + "# Your code here" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "lW4UnVfw_eYy" + }, + "source": [ + "`1.5 * 2 >= 7 - 3`" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "executionInfo": { + "elapsed": 34, + "status": "ok", + "timestamp": 1667929891452, + "user": { + "displayName": "Kaylie Lau", + "userId": "01284785813595846851" + }, + "user_tz": 300 + }, + "id": "54N6gcNPOylS", + "outputId": "938208fc-c4c3-4e58-dd18-b50d3acc84d8" + }, + "outputs": [], + "source": [ + "# Your code here" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "5T-ytiTw-KvJ" + }, + "source": [ + "### 2. In which order will the expressions be evaluated.\n", + "\n", + "`6 * 3 + 7 * 4`\n", + "\n", + "\n", + "
\n", + " Answer\n", + "\n", + " `*` > `*` > `+` \n", + "
\n", + "\n", + "\n", + "`5 - 2 * 3 ** 4`\n", + "\n", + "
\n", + " Answer\n", + "\n", + " `**` > `*` > `-`\n", + "
\n", + "\n", + "`(5 - 2) * 3 ** 4`\n", + "\n", + "
\n", + " Answer\n", + "\n", + " `(-)` > `**` > `*` \n", + "
\n", + "\n", + "`5 + 2 >= 3 * 4`\n", + "\n", + "
\n", + " Answer\n", + "\n", + " `*` > `+` > `>=`\n", + "
" + ] + } + ], + "metadata": { + "colab": { + "authorship_tag": "ABX9TyMhUBNX+UP2C+YDtVSxQKBK", + "collapsed_sections": [], + "provenance": [] + }, + "kernelspec": { + "display_name": "Python 3", + "name": "python3" + }, + "language_info": { + "name": "python" + } + }, + "nbformat": 4, + "nbformat_minor": 0 +}