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s24/AmFam_Ashwin/16_List_Practice/Lec_16_List_Practice_Worksheet.ipynb

+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Lecture 16 Worksheet Solutions\n",
+    "\n",
+    "You should do the worksheet by hand, then check your work."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Problem 1:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "nums = [100, 2, 3, 40, 99]\n",
+    "words = [\"three\", \"two\", \"one\"]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### Solutions:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "99\n",
+      "[2, 3]\n",
+      "two\n",
+      "w\n",
+      "www\n",
+      "\n",
+      "1\n",
+      "2\n",
+      "[100, 'three']\n",
+      "three,two,one\n",
+      "e,t\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(nums[-1])\n",
+    "print(nums[1:3])\n",
+    "print(words[1])\n",
+    "print(words[1][1])\n",
+    "print(words[1][-2] * nums[2])\n",
+    "print()\n",
+    "print(words.index(\"two\"))\n",
+    "print(nums[words.index(\"two\")])\n",
+    "print(nums[:1] + words[:1])\n",
+    "print(\",\".join(words))\n",
+    "print((\",\".join(words))[4:7])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Problem 2:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "rows = [[\"x\", \"y\",\"name\"], [3,4,\"Alice\"], [9,1,\"Bob\"], [-3,4,\"Cindy\"]]\n",
+    "header = rows[0]\n",
+    "data = rows[1:]\n",
+    "X = 0\n",
+    "Y = 1\n",
+    "NAME = 2"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### Solutions:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "4\n",
+      "3\n",
+      "3\n",
+      "Alice\n",
+      "Bob\n",
+      "\n",
+      "2\n",
+      "Cindy\n",
+      "3.0\n",
+      "5.0\n",
+      "Alice\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(len(rows))\n",
+    "print(len(data))\n",
+    "print(len(header))\n",
+    "print(rows[1][-1])\n",
+    "print(data[1][-1])\n",
+    "print()\n",
+    "print(header.index(\"name\"))\n",
+    "print(data[-1][header.index(\"name\")])\n",
+    "print((data[0][X] + data[1][X] + data[2][X]) / 3)\n",
+    "print((data[-1][X] ** 2 + data[-1][Y] ** 2) ** 0.5)\n",
+    "print(min(data[0][NAME], data[1][NAME], data[2][NAME]))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Problem 3:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "rows = [ [\"Food Science\", \"24000\", \"0.049188446\", \"62000\"],\n",
+    "         [\"CS\", \"783000\", \"0.049518657\", \"78000\"],\n",
+    "         [\"Microbiology\", \"70000\", \"0.050880749\", \"60000\"],\n",
+    "         [\"Math\", \"433000\", \"0.05293608\", \"66000\"] ]\n",
+    "hd = [\"major\", \"students\", \"unemployed\", \"salary\"]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### Solutions:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "CS\n",
+      "433000\n",
+      "True\n",
+      "2400070000\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(rows[1][0])\n",
+    "print(rows[3][hd.index(\"students\")])\n",
+    "print(len(hd) == len(rows[1]))\n",
+    "print(rows[0][1] + rows[2][1])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Problem 4:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "rows = [ [\"city\", \"state\", \"y14\", \"y15\"],\n",
+    "         [\"Chicago\", \"Illinois\", \"411\", \"478\"],\n",
+    "         [\"Milwaukee\", \"Wisconsin\", \"90\", \"145\"],\n",
+    "         [\"Detroit\", \"Michigan\", \"298\", \"295\"] ]\n",
+    "hd = rows[0]\n",
+    "rows = rows[1:]  # this removes the header and stores the result in rows"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### Solutions:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Chicago\n",
+      "411\n",
+      "False\n",
+      "Detroit, Michigan\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(rows[0][hd.index(\"city\")])\n",
+    "print(rows[0][hd.index(\"y14\")])\n",
+    "print(rows[2][hd.index(\"y14\")] < rows[2][hd.index(\"y15\")])\n",
+    "print(\", \".join(rows[-1][:2]))"
+   ]
+  }
+ ],
+ "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": 4
+}