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materials-generate-scripts update lectures and reference
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sean-morris authored Jun 17, 2024
2 parents ca09657 + 03b926b commit 0b0088a
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70 changes: 68 additions & 2 deletions hw/hw01/hw01.ipynb

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93 changes: 90 additions & 3 deletions hw/hw02/hw02.ipynb

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92 changes: 90 additions & 2 deletions hw/hw03/hw03.ipynb

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59 changes: 57 additions & 2 deletions hw/hw04/hw04.ipynb

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39 changes: 37 additions & 2 deletions hw/hw05/hw05.ipynb
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{
"cell_type": "code",
"execution_count": null,
"id": "cell-hw05-0",
"metadata": {
"deletable": false,
"editable": false
},
"outputs": [],
"source": [
"# The pip install can take a minute\n",
"%pip install -q urllib3<2.0 otter-grader==4.3.4 datascience ipywidgets\n",
"%pip install -q urllib3<2.0 otter-grader==4.4.1 datascience ipywidgets\n",
"import pyodide_http\n",
"pyodide_http.patch_all()\n",
"\n",
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},
{
"cell_type": "markdown",
"id": "cell-hw05-1",
"metadata": {},
"source": [
"# Homework 5: Applying Functions and Iteration\n",
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},
{
"cell_type": "markdown",
"id": "cell-hw05-2",
"metadata": {},
"source": [
"**Helpful Resource:**\n",
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},
{
"cell_type": "markdown",
"id": "cell-hw05-3",
"metadata": {},
"source": [
"Please complete this notebook by filling in the cells provided. Before you begin, execute the following cell to setup the notebook by importing some helpful libraries. Each time you start your server, you will need to execute this cell again.\n",
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},
{
"cell_type": "markdown",
"id": "cell-hw05-4",
"metadata": {},
"source": [
"## 1. 2021 Cal Football Season"
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{
"cell_type": "code",
"execution_count": null,
"id": "cell-hw05-5",
"metadata": {},
"outputs": [],
"source": [
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"# These lines import the numpy and datascience modules.\n",
"import numpy as np\n",
"from datascience import *\n",
"\n",
"import warnings\n",
"warnings.simplefilter('ignore', FutureWarning)"
]
},
{
"cell_type": "markdown",
"id": "cell-hw05-6",
"metadata": {},
"source": [
"James is trying to analyze how well the Cal football team performed in the 2021 season. A football game is divided into four periods, called quarters. The number of points Cal scored in each quarter and the number of points their opponent scored in each quarter are stored in a table called `https://ds-modules.github.io/materials-sp22-assets/hw/hw05/cal_fb.csv`."
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{
"cell_type": "code",
"execution_count": null,
"id": "cell-hw05-7",
"metadata": {
"deletable": false,
"editable": false
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},
{
"cell_type": "markdown",
"id": "cell-hw05-8",
"metadata": {},
"source": [
"Let's start by finding the total points each team scored in a game.\n",
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{
"cell_type": "code",
"execution_count": null,
"id": "cell-hw05-9",
"metadata": {
"tags": []
},
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{
"cell_type": "code",
"execution_count": null,
"id": "cell-hw05-10",
"metadata": {
"deletable": false,
"editable": false
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},
{
"cell_type": "markdown",
"id": "cell-hw05-11",
"metadata": {},
"source": [
"**Question 2.** Create a new table `final_scores` with three columns in this *specific* order: `Opponent`, `Cal Score`, `Opponent Score`. You will have to create the `Cal Score` and `Opponent Score` columns. Use the function `sum_scores` you just defined in the previous question for this problem. **(20 Points)**\n",
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{
"cell_type": "code",
"execution_count": null,
"id": "cell-hw05-12",
"metadata": {
"tags": []
},
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{
"cell_type": "code",
"execution_count": null,
"id": "cell-hw05-13",
"metadata": {
"deletable": false,
"editable": false
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},
{
"cell_type": "markdown",
"id": "cell-hw05-14",
"metadata": {},
"source": [
"We can get specific row objects from a table. You can use `tbl.row(n)` to get the `n`th row of a table. `row.item(\"column_name\")` will allow you to select the element that corresponds to `column_name` in a particular row. Here's an example:"
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{
"cell_type": "code",
"execution_count": null,
"id": "cell-hw05-15",
"metadata": {
"deletable": false,
"editable": false
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{
"cell_type": "code",
"execution_count": null,
"id": "cell-hw05-16",
"metadata": {
"deletable": false,
"editable": false
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},
{
"cell_type": "markdown",
"id": "cell-hw05-17",
"metadata": {},
"source": [
"**Question 3.** We want to see for a particular game whether or not Cal lost. Write a function called `did_cal_lose`. It should take one argument: a **row object** from the `final_scores` table. It should return either `True` if Cal's score was less than the Opponent's score, and `False` otherwise. **(20 Points)**\n",
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{
"cell_type": "code",
"execution_count": null,
"id": "cell-hw05-18",
"metadata": {
"tags": []
},
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{
"cell_type": "code",
"execution_count": null,
"id": "cell-hw05-19",
"metadata": {
"deletable": false,
"editable": false
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},
{
"cell_type": "markdown",
"id": "cell-hw05-20",
"metadata": {},
"source": [
"**Question 4.** James wants to see how Cal did against every opponent during the 2021 season. Using the `final_scores` table:\n",
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{
"cell_type": "code",
"execution_count": null,
"id": "cell-hw05-21",
"metadata": {
"tags": []
},
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{
"cell_type": "code",
"execution_count": null,
"id": "cell-hw05-22",
"metadata": {
"deletable": false,
"editable": false
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},
{
"cell_type": "markdown",
"id": "cell-hw05-23",
"metadata": {},
"source": [
"**Question 5:** Sometimes in football the two teams are equally matched and the game is quite close. Other times, it is a blowout, where the winning team wins by a large margin of victory. Let's define a **big win** to be a game in which the winning team won by more than 10 points.\n",
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{
"cell_type": "code",
"execution_count": null,
"id": "cell-hw05-24",
"metadata": {
"tags": []
},
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{
"cell_type": "code",
"execution_count": null,
"id": "cell-hw05-25",
"metadata": {
"deletable": false,
"editable": false
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},
{
"cell_type": "markdown",
"id": "cell-hw05-26",
"metadata": {},
"source": [
"You're done with the required section of Homework 5! Continue on to the optional section for some more practice with iterations and for loops.\n",
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},
{
"cell_type": "markdown",
"id": "cell-hw05-27",
"metadata": {},
"source": [
"## 2. Unrolling Loops (Optional)"
]
},
{
"cell_type": "markdown",
"id": "cell-hw05-28",
"metadata": {},
"source": [
"**This section of HW5 is optional. Do it for your own practice, but it will not be incorporated into the final grading!**\n",
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},
{
"cell_type": "markdown",
"id": "cell-hw05-29",
"metadata": {},
"source": [
"**Optional Question 1.** Unroll the code below."
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{
"cell_type": "code",
"execution_count": null,
"id": "cell-hw05-30",
"metadata": {},
"outputs": [],
"source": [
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{
"cell_type": "code",
"execution_count": null,
"id": "cell-hw05-31",
"metadata": {
"for_assignment_type": "solution",
"tags": []
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},
{
"cell_type": "markdown",
"id": "cell-hw05-32",
"metadata": {},
"source": [
"Congratulations, you are done with Homework 5!\n",
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},
{
"cell_type": "markdown",
"id": "cell-hw05-33",
"metadata": {
"deletable": false,
"editable": false
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{
"cell_type": "code",
"execution_count": null,
"id": "cell-hw05-34",
"metadata": {
"deletable": false,
"editable": false
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},
{
"cell_type": "markdown",
"id": "cell-hw05-35",
"metadata": {},
"source": [
" "
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