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Update: Lectures and Reference #3

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Jun 17, 2024
Merged

Update: Lectures and Reference #3

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7e61458
[All Notebooks] d8error removed
sean-morris Jun 6, 2024
a76d873
Unique IDs Created
sean-morris Jun 10, 2024
f3c5145
[datascience-to-pandas] Updated Unique IDs
sean-morris Jun 10, 2024
03b926b
materials-generate-scripts update lectures and reference
sean-morris Jun 13, 2024
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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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Original file line number Diff line number Diff line change
Expand Up @@ -3,14 +3,15 @@
{
"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",
Expand All @@ -21,6 +22,7 @@
},
{
"cell_type": "markdown",
"id": "cell-hw05-1",
"metadata": {},
"source": [
"# Homework 5: Applying Functions and Iteration\n",
Expand All @@ -30,6 +32,7 @@
},
{
"cell_type": "markdown",
"id": "cell-hw05-2",
"metadata": {},
"source": [
"**Helpful Resource:**\n",
Expand All @@ -45,6 +48,7 @@
},
{
"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",
Expand All @@ -62,6 +66,7 @@
},
{
"cell_type": "markdown",
"id": "cell-hw05-4",
"metadata": {},
"source": [
"## 1. 2021 Cal Football Season"
Expand All @@ -70,6 +75,7 @@
{
"cell_type": "code",
"execution_count": null,
"id": "cell-hw05-5",
"metadata": {},
"outputs": [],
"source": [
Expand All @@ -78,13 +84,13 @@
"# 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`."
Expand All @@ -93,6 +99,7 @@
{
"cell_type": "code",
"execution_count": null,
"id": "cell-hw05-7",
"metadata": {
"deletable": false,
"editable": false
Expand All @@ -107,6 +114,7 @@
},
{
"cell_type": "markdown",
"id": "cell-hw05-8",
"metadata": {},
"source": [
"Let's start by finding the total points each team scored in a game.\n",
Expand All @@ -120,6 +128,7 @@
{
"cell_type": "code",
"execution_count": null,
"id": "cell-hw05-9",
"metadata": {
"tags": []
},
Expand All @@ -135,6 +144,7 @@
{
"cell_type": "code",
"execution_count": null,
"id": "cell-hw05-10",
"metadata": {
"deletable": false,
"editable": false
Expand All @@ -146,6 +156,7 @@
},
{
"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",
Expand All @@ -158,6 +169,7 @@
{
"cell_type": "code",
"execution_count": null,
"id": "cell-hw05-12",
"metadata": {
"tags": []
},
Expand All @@ -172,6 +184,7 @@
{
"cell_type": "code",
"execution_count": null,
"id": "cell-hw05-13",
"metadata": {
"deletable": false,
"editable": false
Expand All @@ -183,6 +196,7 @@
},
{
"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:"
Expand All @@ -191,6 +205,7 @@
{
"cell_type": "code",
"execution_count": null,
"id": "cell-hw05-15",
"metadata": {
"deletable": false,
"editable": false
Expand All @@ -205,6 +220,7 @@
{
"cell_type": "code",
"execution_count": null,
"id": "cell-hw05-16",
"metadata": {
"deletable": false,
"editable": false
Expand All @@ -217,6 +233,7 @@
},
{
"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",
Expand All @@ -229,6 +246,7 @@
{
"cell_type": "code",
"execution_count": null,
"id": "cell-hw05-18",
"metadata": {
"tags": []
},
Expand All @@ -243,6 +261,7 @@
{
"cell_type": "code",
"execution_count": null,
"id": "cell-hw05-19",
"metadata": {
"deletable": false,
"editable": false
Expand All @@ -254,6 +273,7 @@
},
{
"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",
Expand All @@ -275,6 +295,7 @@
{
"cell_type": "code",
"execution_count": null,
"id": "cell-hw05-21",
"metadata": {
"tags": []
},
Expand All @@ -292,6 +313,7 @@
{
"cell_type": "code",
"execution_count": null,
"id": "cell-hw05-22",
"metadata": {
"deletable": false,
"editable": false
Expand All @@ -303,6 +325,7 @@
},
{
"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",
Expand All @@ -313,6 +336,7 @@
{
"cell_type": "code",
"execution_count": null,
"id": "cell-hw05-24",
"metadata": {
"tags": []
},
Expand All @@ -339,6 +363,7 @@
{
"cell_type": "code",
"execution_count": null,
"id": "cell-hw05-25",
"metadata": {
"deletable": false,
"editable": false
Expand All @@ -350,6 +375,7 @@
},
{
"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",
Expand All @@ -359,13 +385,15 @@
},
{
"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",
Expand All @@ -390,6 +418,7 @@
},
{
"cell_type": "markdown",
"id": "cell-hw05-29",
"metadata": {},
"source": [
"**Optional Question 1.** Unroll the code below."
Expand All @@ -398,6 +427,7 @@
{
"cell_type": "code",
"execution_count": null,
"id": "cell-hw05-30",
"metadata": {},
"outputs": [],
"source": [
Expand All @@ -416,6 +446,7 @@
{
"cell_type": "code",
"execution_count": null,
"id": "cell-hw05-31",
"metadata": {
"for_assignment_type": "solution",
"tags": []
Expand All @@ -427,6 +458,7 @@
},
{
"cell_type": "markdown",
"id": "cell-hw05-32",
"metadata": {},
"source": [
"Congratulations, you are done with Homework 5!\n",
Expand All @@ -442,6 +474,7 @@
},
{
"cell_type": "markdown",
"id": "cell-hw05-33",
"metadata": {
"deletable": false,
"editable": false
Expand All @@ -455,6 +488,7 @@
{
"cell_type": "code",
"execution_count": null,
"id": "cell-hw05-34",
"metadata": {
"deletable": false,
"editable": false
Expand All @@ -467,6 +501,7 @@
},
{
"cell_type": "markdown",
"id": "cell-hw05-35",
"metadata": {},
"source": [
" "
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