04-functions.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Before you start working on these exercises, make sure you've watched the videos, done the reading, and taken the quiz!\n",
    "\n",
    "General Resources:\n",
    "* [Main PY4E Website](https://www.py4e.com)\n",
    "* [Full Textbook PDF](http://do1.dr-chuck.com/pythonlearn/EN_us/pythonlearn.pdf)\n",
    "* [Full Youtube Playlist](https://www.youtube.com/playlist?list=PLlRFEj9H3Oj7Bp8-DfGpfAfDBiblRfl5p)\n",
    "\n",
    "Lesson 4 Resources:\n",
    "* [Lesson Page](https://www.py4e.com/lessons/functions)\n",
    "* [Video 4.1](https://www.youtube.com/watch?v=5Kzw-0-DQAk&list=PLlRFEj9H3Oj7Bp8-DfGpfAfDBiblRfl5p&index=19)\n",
    "* [Video 4.2](https://www.youtube.com/watch?v=AJVNYRqn8kM&list=PLlRFEj9H3Oj7Bp8-DfGpfAfDBiblRfl5p&index=20)\n",
    "* [Lesson Slides](https://www.py4e.com/lectures3/Pythonlearn-04-Functions.pptx)\n",
    "* [Textbook Chapter 4](https://www.py4e.com/html3/04-functions)\n",
    "* [Link to Quiz (must be logged in)](https://www.py4e.com/lessons_launch/py4e_04_def_quiz)\n",
    "* If you're feeling stuck on exercise 4.6, worked solutions are available on the lesson page and Youtube"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Make sure to run this cell to load the autograder!\n",
    "from grader import check_exercise"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Exercise 1: Run the program on your system and see what numbers you get.\n",
    "Run the program more than once and see what numbers you get.**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "### Run This Code ###\n",
    "import random\n",
    "\n",
    "for i in range(10):\n",
    "    x = random.random()\n",
    "    print(x)"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "Answer: The result of this program was ..."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Exercise 2: Move the last line of this program to the top, so the\n",
    "function call appears before the definitions. Run the program and see\n",
    "what error message you get.**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "### Run This Code ###\n",
    "repeat_lyrics()\n",
    "\n",
    "def print_lyrics():\n",
    "    print(\"I'm a lumberjack, and I'm okay.\")\n",
    "    print('I sleep all night and I work all day.')\n",
    "\n",
    "def repeat_lyrics():\n",
    "    print_lyrics()\n",
    "    print_lyrics()"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "Answer: The result of this program was ..."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Exercise 3: Move the function call back to the bottom and move the\n",
    "definition of `print_lyrics` after the definition of `repeat_lyrics`.\n",
    "What happens when you run this program?**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "repeat_lyrics = None # Resets functions for Exercise 3\n",
    "print_lyrics = None # Resets functions for Exercise 3\n",
    "\n",
    "### Run This Code ###\n",
    "\n",
    "def repeat_lyrics():\n",
    "    print_lyrics()\n",
    "    print_lyrics()\n",
    "\n",
    "def print_lyrics():\n",
    "    print(\"I'm a lumberjack, and I'm okay.\")\n",
    "    print('I sleep all night and I work all day.')\n",
    "\n",
    "repeat_lyrics()"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "Answer: The result of this program was ..."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Exercise 4: What is the purpose of the \"def\" keyword in Python?**\n",
    "\n",
    "a\\) It is slang that means \"the following code is really cool\"\\\n",
    "b) It indicates the start of a function\\\n",
    "c) It indicates that the following indented section of code is to be\n",
    "stored for later\\\n",
    "d) b and c are both true\\\n",
    "e) None of the above"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "exercise = 'Exercise 4.4'\n",
    "\n",
    "### Begin Answer Here ###\n",
    "answer = \n",
    "###  End Answer Here  ###\n",
    "\n",
    "print(repr(answer))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Make sure to save your notebook before checking!\n",
    "check_exercise('Exercise 4.4')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Exercise 5: What will the following Python program print out?**\n",
    "\n",
    "~~~~ {.python}\n",
    "def fred():\n",
    "   print(\"Zap\")\n",
    "\n",
    "def jane():\n",
    "   print(\"ABC\")\n",
    "\n",
    "jane()\n",
    "fred()\n",
    "jane()\n",
    "~~~~\n",
    "\n",
    "a\\) Zap ABC jane fred jane\\\n",
    "b) Zap ABC Zap\\\n",
    "c) ABC Zap jane\\\n",
    "d) ABC Zap ABC\\\n",
    "e) Zap Zap Zap"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "exercise = 'Exercise 4.5'\n",
    "\n",
    "### Begin Answer Here ###\n",
    "answer = \n",
    "###  End Answer Here  ###\n",
    "\n",
    "print(repr(answer))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Make sure to save your notebook before checking!\n",
    "check_exercise('Exercise 4.5')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Exercise 6: Rewrite your pay computation with time-and-a-half for\n",
    "overtime and create a function called `computepay` which\n",
    "takes two parameters (`hours` and `rate`), and returns a float.**\n",
    "\n",
    "~~~~\n",
    "Enter Hours: 45\n",
    "Enter Rate: 10\n",
    "Pay: 475.0\n",
    "~~~~"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "exercise = 'Exercise 4.6'\n",
    "\n",
    "### Start Code Here ###\n",
    "    \n",
    "###  End Code Here  ###"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Make sure to save your notebook before checking!\n",
    "check_exercise('Exercise 4.6')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Exercise 7: Rewrite the grade program from the previous chapter using a\n",
    "function called `computegrade` that takes a score as its\n",
    "parameter and returns a grade as a string.**\n",
    "\n",
    "~~~~\n",
    " Score   Grade\n",
    ">= 0.9     A\n",
    ">= 0.8     B\n",
    ">= 0.7     C\n",
    ">= 0.6     D\n",
    " < 0.6     F\n",
    "~~~~\n",
    "\n",
    "~~~~\n",
    "Enter score: 0.95\n",
    "A\n",
    "~~~~\n",
    "\n",
    "~~~~\n",
    "Enter score: perfect\n",
    "Bad score\n",
    "~~~~\n",
    "\n",
    "~~~~\n",
    "Enter score: 10.0\n",
    "Bad score\n",
    "~~~~\n",
    "\n",
    "~~~~\n",
    "Enter score: 0.75\n",
    "C\n",
    "~~~~\n",
    "\n",
    "~~~~\n",
    "Enter score: 0.5\n",
    "F\n",
    "~~~~\n",
    "\n",
    "Run the program repeatedly to test the various different values for\n",
    "input."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "exercise = 'Exercise 4.7'\n",
    "\n",
    "### Start Code Here ###\n",
    "\n",
    "###  End Code Here  ###"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Make sure to save your notebook before checking!\n",
    "check_exercise('Exercise 4.7')"
   ]
  }
 ],
 "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": "3.8.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}