{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "43af2a82",
   "metadata": {},
   "source": [
    "# Lab 7: List Practice\n",
    "\n",
    "In this lab, you are going to practice list operations introduced in the lecture and then explore a few more operations."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d34b348f",
   "metadata": {},
   "source": [
    "__Exercise 1:__ Here are two similar questions. Write the code that would answer each:\n",
    "\n",
    "1. Is \"Eccleston\" in this list?\n",
    "2. Where is \"Eccleston\" in this list?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "9cd21772",
   "metadata": {},
   "outputs": [],
   "source": [
    "doctor_who_actors = [\"McGann\",\"Eccleston\",\"Tennant\",\"Smith\",\"Capaldi\",\"Whittaker\"]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "86b2ba6b",
   "metadata": {},
   "source": [
    "__Exercise 2:__ In the lecture, we discussed this code for removing values from a list. What if we want to remove the value from a specific day number (i.e., 0-6) rather than the amount of rainfall? Change the code to make it work in that case."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "4675b8c1",
   "metadata": {},
   "outputs": [],
   "source": [
    "rainfall_amounts = [0.0, 0.3, 0.71, 0.0, 0.32, 1.1, 0.4]\n",
    "val_to_remove = float(input(\"Enter a value to remove: \"))\n",
    "rainfall_amounts.remove(val_to_remove)\n",
    "print(rainfall_amounts)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d382f203",
   "metadata": {},
   "source": [
    "__Exercise 3:__ Some operators might work with lists and some might not. For each of the following, try them out at the interactive shell and keep notes on which ones worked and which didn't. If it did work, make sure to write down what it did."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f909048d",
   "metadata": {},
   "outputs": [],
   "source": [
    "[\"A\",\"B\",\"C\"]+[\"C\",\"D\"]\n",
    "[\"A\",\"B\",\"C\"]-[\"C\",\"D\"]\n",
    "[\"A\",\"B\",\"C\"]*[\"C\",\"D\"]\n",
    "[\"A\",\"B\",\"C\"]+5\n",
    "[\"A\",\"B\",\"C\"]*5"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5aea9f08",
   "metadata": {},
   "source": [
    "__Exercise 4:__ You can put a list inside of another list (this is called a __nested list__). Try each of the lines below. In your notes, write down what happens when using two indices."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "0e31a7ff",
   "metadata": {},
   "outputs": [],
   "source": [
    "nested_list = [1,2,3,[4,5,6],7]\n",
    "print(nested_list)\n",
    "print(nested_list[2])\n",
    "print(nested_list[3])\n",
    "print(nested_list[3][1])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "46ca4fae",
   "metadata": {},
   "source": [
    "__Challenge Exercise 5:__ Write code that will ask the user for a rainfall amount. If that amount appears in the list, tell them the day it occurred (i.e., the index of that item in the list). If it appears more than once, report the index of the first one. If it does not appear in the list, tell them that no day had that exact amount of rain. Use the list below as the rainfall amount list (it should be the first line in your code)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "07ee70cf",
   "metadata": {},
   "outputs": [],
   "source": [
    "rainfall = [0.0, 0.3, 0.71, 0.0, 0.32, 1.1, 0.4]"
   ]
  },
  {
   "attachments": {
    "rainfalloutput.png": {
     "image/png": 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"
    }
   },
   "cell_type": "markdown",
   "id": "dd286bd5",
   "metadata": {},
   "source": [
    "Your output should look like this:\n",
    "\n",
    "<p>\n",
    "<div>\n",
    "<img src=\"attachment:rainfalloutput.png\" width=\"300\"/>\n",
    "</div>\n",
    "</p>\n",
    "\n",
    "When you are finished, submit your solution to the __Lab 7: Rainfall search__ assignment on codePost. It will be autograded, and it'll be looking for the output to match the examples above."
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "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": "3.8.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
