lectures 23, 24, 25

4dca6ac7 · Ashwin Maran · 7735eabd · 4dca6ac7 · 4dca6ac7 · 4dca6ac7
Commit 4dca6ac7 authored 1 year ago by Ashwin Maran
--- a/s24/AmFam_Ashwin/23_Function_References/23_Function_References.pdf
+++ b/s24/AmFam_Ashwin/23_Function_References/23_Function_References.pdf
--- a/s24/AmFam_Ashwin/23_Function_References/23_Function_References.pptx
+++ b/s24/AmFam_Ashwin/23_Function_References/23_Function_References.pptx
--- a/s24/AmFam_Ashwin/23_Function_References/Lecture Code/Lec_23_Function_References_Solution.ipynb
+++ b/s24/AmFam_Ashwin/23_Function_References/Lecture Code/Lec_23_Function_References_Solution.ipynb
--- a/s24/AmFam_Ashwin/23_Function_References/Lecture Code/Lec_23_Function_References_Template.ipynb
+++ b/s24/AmFam_Ashwin/23_Function_References/Lecture Code/Lec_23_Function_References_Template.ipynb
--- a/s24/AmFam_Ashwin/24_Comprehensions/Lec24_Comprehensions_Worksheet_Solution.ipynb
+++ b/s24/AmFam_Ashwin/24_Comprehensions/Lec24_Comprehensions_Worksheet_Solution.ipynb
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "2e3d10aa-07d4-47ff-a27d-b6170b3890de",
+   "metadata": {},
+   "source": [
+    "# Problem A"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "7c56f9e4",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "words = [\"pineapple\", \"mango\", \"quince\", \"blueberry\", \"orange\"]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "811de0bb-38ae-4b8b-b5f4-a870290ba1e0",
+   "metadata": {},
+   "source": [
+    "#### 1. Use comprehension to create a list of the words that contain \"o\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "817f579f",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "['mango', 'orange']"
+      ]
+     },
+     "execution_count": 2,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "[w for w in words if \"o\" in w]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "6f25ea46-e7d7-4951-a52d-434cfc5c4640",
+   "metadata": {},
+   "source": [
+    "#### 2. Use comprehension to create a list of words that have a length > 7"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "4dd182dd",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "['pineapple', 'blueberry']"
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "[x for x in words if len(x) > 7]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "1ca08482-6770-4967-9bc2-4133660fc8d9",
+   "metadata": {},
+   "source": [
+    "#### 3. Use comprehension to create a list of integers that represent the length of each word"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "d3712c7a",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[9, 5, 6, 9, 6]"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "[len(word) for word in words]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "d39da88d-addb-4925-bdec-faeefe35ae4d",
+   "metadata": {},
+   "source": [
+    "#### 4. Use comprehension to create a list of words that end with \"e\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "6126ab6e",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "['pineapple', 'quince', 'orange']"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "[w for w in words if w.endswith(\"e\")]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "0e58c9c2-7022-4e1f-9f04-dfddc4f2a2ec",
+   "metadata": {},
+   "source": [
+    "# Problem B"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "bcbab6a8",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "heart_rates = {\"Micah\": [67, 59, 84, 88],\n",
+    " \"Briana\": [59, 73, 67, 80, 79],\n",
+    " \"Jaren\": [67, 84, 71, 68 , 70]}"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "ad83760f-67f6-4ec5-92cf-489bdab95d0d",
+   "metadata": {},
+   "source": [
+    "#### 1. Use comprehension to create a list of the names"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "14983b5f",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "['Micah', 'Briana', 'Jaren']"
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "[p for p in heart_rates]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "9de2905b-d411-4923-9383-b6f983d1e4ab",
+   "metadata": {},
+   "source": [
+    "#### 2.  Use comprehension to create a dictionary where the key is the same key, but the value is the min of each list"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "id": "f080b33a",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'Micah': 59, 'Briana': 59, 'Jaren': 67}"
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "{p: min(heart_rates[p]) for p in heart_rates}"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "3edb9d88-544c-4913-9966-a01285483c8e",
+   "metadata": {},
+   "source": [
+    "#### 3. Use comprehension to create a dictionary where the key is the same key, but the value is the average of each list"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "52198994",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'Micah': 74.5, 'Briana': 71.6, 'Jaren': 72.0}"
+      ]
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "{p: sum(heart_rates[p]) / len(heart_rates[p]) for p in heart_rates}"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "26f48b37-27dc-4fa6-86f6-21ac3d29c902",
+   "metadata": {},
+   "source": [
+    "# Problem C"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "id": "b4c58448",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "player_stats = [\n",
+    " {\"name\": \"Rina\", \"goals\": 17, \"position\": \"Midfield\"},\n",
+    " {\"name\": \"Charlie\", \"goals\": 6, \"position\": \"Defender\"},\n",
+    " {\"name\": \"Heather\", \"goals\": 20, \"position\": \"Midfield\"}\n",
+    "]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "54425847-6823-496d-b8aa-ebc31528f87a",
+   "metadata": {},
+   "source": [
+    "#### 1. Use comprehension to create a list of names of people who scored >10 goals"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "id": "cc6b8524",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "['Rina', 'Heather']"
+      ]
+     },
+     "execution_count": 11,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "[person['name'] for person in player_stats if person['goals'] > 10]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "be5fb26a-a6ba-4754-9ca9-0d650ef228ee",
+   "metadata": {},
+   "source": [
+    "#### 2. Use comprehension to create a list of all unique positions"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "id": "58abdf9e",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "['Midfield', 'Defender']"
+      ]
+     },
+     "execution_count": 12,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "list({person['position'] for person in player_stats})"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
+%% Cell type:markdown id:2e3d10aa-07d4-47ff-a27d-b6170b3890de tags:
+
+# Problem A
+
+%% Cell type:code id:7c56f9e4 tags:
+
+``` python
+words = ["pineapple", "mango", "quince", "blueberry", "orange"]
+```
+
+%% Cell type:markdown id:811de0bb-38ae-4b8b-b5f4-a870290ba1e0 tags:
+
+#### 1. Use comprehension to create a list of the words that contain "o"
+
+%% Cell type:code id:817f579f tags:
+
+``` python
+[w for w in words if "o" in w]
+```
+
+%% Output
+
+    ['mango', 'orange']
+
+%% Cell type:markdown id:6f25ea46-e7d7-4951-a52d-434cfc5c4640 tags:
+
+#### 2. Use comprehension to create a list of words that have a length > 7
+
+%% Cell type:code id:4dd182dd tags:
+
+``` python
+[x for x in words if len(x) > 7]
+```
+
+%% Output
+
+    ['pineapple', 'blueberry']
+
+%% Cell type:markdown id:1ca08482-6770-4967-9bc2-4133660fc8d9 tags:
+
+#### 3. Use comprehension to create a list of integers that represent the length of each word
+
+%% Cell type:code id:d3712c7a tags:
+
+``` python
+[len(word) for word in words]
+```
+
+%% Output
+
+    [9, 5, 6, 9, 6]
+
+%% Cell type:markdown id:d39da88d-addb-4925-bdec-faeefe35ae4d tags:
+
+#### 4. Use comprehension to create a list of words that end with "e"
+
+%% Cell type:code id:6126ab6e tags:
+
+``` python
+[w for w in words if w.endswith("e")]
+```
+
+%% Output
+
+    ['pineapple', 'quince', 'orange']
+
+%% Cell type:markdown id:0e58c9c2-7022-4e1f-9f04-dfddc4f2a2ec tags:
+
+# Problem B
+
+%% Cell type:code id:bcbab6a8 tags:
+
+``` python
+heart_rates = {"Micah": [67, 59, 84, 88],
+ "Briana": [59, 73, 67, 80, 79],
+ "Jaren": [67, 84, 71, 68 , 70]}
+```
+
+%% Cell type:markdown id:ad83760f-67f6-4ec5-92cf-489bdab95d0d tags:
+
+#### 1. Use comprehension to create a list of the names
+
+%% Cell type:code id:14983b5f tags:
+
+``` python
+[p for p in heart_rates]
+```
+
+%% Output
+
+    ['Micah', 'Briana', 'Jaren']
+
+%% Cell type:markdown id:9de2905b-d411-4923-9383-b6f983d1e4ab tags:
+
+#### 2.  Use comprehension to create a dictionary where the key is the same key, but the value is the min of each list
+
+%% Cell type:code id:f080b33a tags:
+
+``` python
+{p: min(heart_rates[p]) for p in heart_rates}
+```
+
+%% Output
+
+    {'Micah': 59, 'Briana': 59, 'Jaren': 67}
+
+%% Cell type:markdown id:3edb9d88-544c-4913-9966-a01285483c8e tags:
+
+#### 3. Use comprehension to create a dictionary where the key is the same key, but the value is the average of each list
+
+%% Cell type:code id:52198994 tags:
+
+``` python
+{p: sum(heart_rates[p]) / len(heart_rates[p]) for p in heart_rates}
+```
+
+%% Output
+
+    {'Micah': 74.5, 'Briana': 71.6, 'Jaren': 72.0}
+
+%% Cell type:markdown id:26f48b37-27dc-4fa6-86f6-21ac3d29c902 tags:
+
+# Problem C
+
+%% Cell type:code id:b4c58448 tags:
+
+``` python
+player_stats = [
+ {"name": "Rina", "goals": 17, "position": "Midfield"},
+ {"name": "Charlie", "goals": 6, "position": "Defender"},
+ {"name": "Heather", "goals": 20, "position": "Midfield"}
+]
+```
+
+%% Cell type:markdown id:54425847-6823-496d-b8aa-ebc31528f87a tags:
+
+#### 1. Use comprehension to create a list of names of people who scored >10 goals
+
+%% Cell type:code id:cc6b8524 tags:
+
+``` python
+[person['name'] for person in player_stats if person['goals'] > 10]
+```
+
+%% Output
+
+    ['Rina', 'Heather']
+
+%% Cell type:markdown id:be5fb26a-a6ba-4754-9ca9-0d650ef228ee tags:
+
+#### 2. Use comprehension to create a list of all unique positions
+
+%% Cell type:code id:58abdf9e tags:
+
+``` python
+list({person['position'] for person in player_stats})
+```
+
+%% Output
+
+    ['Midfield', 'Defender']
--- a/s24/AmFam_Ashwin/24_Comprehensions/Lecture Code/Lec24_Comprehensions_Solution.ipynb
+++ b/s24/AmFam_Ashwin/24_Comprehensions/Lecture Code/Lec24_Comprehensions_Solution.ipynb
--- a/s24/AmFam_Ashwin/24_Comprehensions/Lecture Code/Lec24_Comprehensions_Template.ipynb
+++ b/s24/AmFam_Ashwin/24_Comprehensions/Lecture Code/Lec24_Comprehensions_Template.ipynb
--- a/s24/AmFam_Ashwin/24_Comprehensions/lec-24-worksheet.docx
+++ b/s24/AmFam_Ashwin/24_Comprehensions/lec-24-worksheet.docx
--- a/s24/AmFam_Ashwin/24_Comprehensions/lec-24-worksheet.pdf
+++ b/s24/AmFam_Ashwin/24_Comprehensions/lec-24-worksheet.pdf
--- a/s24/AmFam_Ashwin/25_Error_Handling/Lecture Code/Lec25_Error_Handling_Solution.ipynb
+++ b/s24/AmFam_Ashwin/25_Error_Handling/Lecture Code/Lec25_Error_Handling_Solution.ipynb
--- a/s24/AmFam_Ashwin/25_Error_Handling/Lecture Code/Lec25_Error_Handling_Template.ipynb
+++ b/s24/AmFam_Ashwin/25_Error_Handling/Lecture Code/Lec25_Error_Handling_Template.ipynb
--- a/s24/AmFam_Ashwin/25_Error_Handling/lec-25-worksheet.docx
+++ b/s24/AmFam_Ashwin/25_Error_Handling/lec-25-worksheet.docx
--- a/s24/AmFam_Ashwin/25_Error_Handling/lec-25-worksheet.pdf
+++ b/s24/AmFam_Ashwin/25_Error_Handling/lec-25-worksheet.pdf