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‎Week_0_python/a_tutorial_strings_format.ipynb‎

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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.7.4"
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"version": "3.11.4"
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}
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},
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"nbformat": 4,

‎Week_10_runtime/lec_act_10_fibonacci_class.ipynb‎

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},
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{
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"cell_type": "markdown",
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"metadata": {
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"deletable": false,
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"source": [
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"# Move to a class\n",
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"\n",
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"source": [
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"## Hours and collaborators\n",
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"Required for every assignment - fill out before you hand-in.\n",

‎Week_1_arrays/HW_1_data_numpy.ipynb‎

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},
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{
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"cell_type": "markdown",
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"source": [
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"## Week 1, problem 0: Setting up libraries\n",
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"TODO: Import the libraries that you will need (numpy, json, matplotlib for week 2)"
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{
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"cell_type": "markdown",
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"metadata": {
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"deletable": false,
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"## Week 1, problem 1: stats for one channel function\n",
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"\n",
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"deletable": false,
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"source": [
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"## Week 1, problem 2: Read in the proxy pick data and the proxy pick description file\n",
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"\n",
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"deletable": false,
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},
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"source": [
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"## Week 1: Problem 3: calculate and store data\n",
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"\n",
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},
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{
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"cell_type": "markdown",
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"deletable": false,
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"## Week 1: Problem 4: Print stats for each sensor channel\n",
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"\n",
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},
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"cell_type": "markdown",
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"metadata": {
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"deletable": false,
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"source": [
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"## Week 1: Problem 5: Max peak per channel\n",
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"\n",
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"deletable": false,
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"source": [
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"<!-- BEGIN QUESTION -->\n",
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"\n",
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},
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{
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"cell_type": "markdown",
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"deletable": false,
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"source": [
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"I'm going to give you a function definition for the plot. There are a lot of ways you could do this; I chose this one for two reasons:\n",
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"- It \"makes sense\" that the input should be x and y values, along with information on how to label the plot\n",
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{
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"cell_type": "markdown",
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"metadata": {
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"deletable": false,
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"<!-- END QUESTION -->\n",
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"\n",
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"deletable": false,
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},
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"source": [
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"## Week 2: Problem 2: (optional) use reshape to make slicing not needed\n",
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"\n",
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},
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"cell_type": "markdown",
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"metadata": {
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"deletable": false,
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"editable": false
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},
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"source": [
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"## Hours and collaborators\n",
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"Required for every assignment - fill out before you hand-in.\n",

‎Week_1_arrays/Lab_1_data_numpy.ipynb‎

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},
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{
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"cell_type": "markdown",
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},
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"source": [
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"## Reading in data\n",
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"TODO First step, read in the data from Data/proxy_pick_data.csv and put it in a numpy array pick_data. Don't forget to set the delimiter.\n",
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"cell_type": "markdown",
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},
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"source": [
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"## JSON, lists, and dictionaries: Getting information from a file\n",
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"The format of the spreadsheet data is given in Data/data_format.json. TODO: Open up the file using any text editor and look through it to see if it makes sense. Also open up proxy_pick_data.csv in a spread sheet editor and make sure you understand the data format."
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"metadata": {
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"deletable": false,
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"outputs": [],
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"# This reads in the json data\n",
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"cell_type": "markdown",
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"deletable": false,
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},
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"source": [
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"## How many sensor data channels, how many time steps?\n",
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"TODO: Figure out how many data channels there are, total, for one time step.\n",
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},
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"cell_type": "markdown",
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"### Number of time steps\n",
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"Now do a bit of math to figure out the total number of time steps (number of columns / number of dimensions)\n",
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{
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"cell_type": "markdown",
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"##### Data slicing to get out the Wrist torque data\n",
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"\n",
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"cell_type": "markdown",
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"deletable": false,
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"source": [
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"## Compute stats: Now use slicing to get out all of the wrist torque data and calculate the min and the max\n",
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"\n",
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},
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"cell_type": "markdown",
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"deletable": false,
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},
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"## Boolean slicing to get successful versus unsuccessful picks out\n",
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"cell_type": "markdown",
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"<!-- BEGIN QUESTION -->\n",
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"\n",
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},
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"cell_type": "markdown",
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"deletable": false,
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"<!-- END QUESTION -->\n",
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"\n",

‎Week_1_arrays/a_tutorial_numpy.ipynb‎

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},
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"cell_type": "code",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.7.4"
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"version": "3.11.4"
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}
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},
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"nbformat": 4,

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