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150 lines
5.1 KiB
150 lines
5.1 KiB
{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"### \n",
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"\n",
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"# Unit 3 Lab: Object-Oriented Programming\n",
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"\n",
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"## Overview\n",
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"Welcome to the Unit 3 lab!\n",
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"\n",
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"We're making a slight jump with this lab to OOP structure, so please use the starter notebook as a starting point.\n",
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"\n",
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"Let's use object-oriented programming concepts to improve our code. Specifically, we'll be using dictionaries and classes."
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"#### Media Class\n",
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"\n",
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"Create a `Media` class. This will be the parent class of `Movie`, and it itself will inherit from the `object` base python class.\n",
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"\n",
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"- The `Media` class will take two arguments, `publisher` and `market`, both of which are strings. These strings will set class instance variables, `self.publisher` and `self.market`. Whenever this class is instantiated or called, assume values of `Universal Studios` for `publisher` and `USA` for `market`.\n",
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"- The `Media` class will have one class method, `get_media_info()`. This method will print the `self.publisher` and `self.market` class instance variables to stdout and return `None`."
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]
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},
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{
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"cell_type": "code",
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"execution_count": 1,
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"metadata": {},
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"outputs": [],
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"source": [
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"# A:"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"#### Movie Class\n",
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"\n",
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"Create a `Movie` class. This class will <i>inherit</i> from the base `Media` class. We're going to have several movies, each of which will have a title and a rating. We can use a `Movie` class as a scaffold to create many movie objects. Your `Movie` class should have three methods:\n",
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" 1. `__init__`, which will take in `self`, `movie_data` (this will be a dictionary containing the title and rating of each movie), `publisher` and `market`. `__init__` will set a member variable, `movie_data`, to equal the `movie_data` dictionary passed in. `publisher` and `market` variables will be passed to the parent `Media` object, which must also have its `__init__()` method called using the `super()` builtin function.\n",
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" 1. `get_movie_title()`, a getter function that returns the value of the `title` key in the `movie_data` dictionary.\n",
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" 1. `get_movie_rating()`, a getter function that returns the value of the `rating` key in the `movie_data` dictionary."
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"metadata": {},
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"outputs": [],
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"source": [
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"# A:"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"#### Return Single Movie Object\n",
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"\n",
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"Now that we have a class, let's make a function that creates `Movie` objects.\n",
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" - Create a function called `return_single_movie_object()` that takes four arguments:\n",
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" - `movie_title`\n",
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" - `movie_rating`\n",
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" - `publisher`\n",
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" - `market`\n",
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" - Have it create and return a `Movie` object with those values."
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]
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"metadata": {},
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"outputs": [],
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"source": [
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"# A:"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"#### Print All Ratings\n",
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"Let's make a function, `print_all_ratings` that takes a list of movie titles, iterates through them, and prints a result to stdout (more on that below).\n",
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"\n",
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"- The `print_all_ratings` function will call the `return_single_object` function on each iteration to return a `Movie` object.\n",
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"- Use the following hard-coded values of the following parameters when calling `return_single_object`:\n",
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"\n",
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"<table>\n",
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" <tr>\n",
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" <td>Variable</td>\n",
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" <td>Value</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <td>movie_rating</td>\n",
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" <td>4</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <td>publisher</td>\n",
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" <td>\"Universal Studios\"</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <td>market</td>\n",
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" <td>\"USA\"</td>\n",
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" </tr> \n",
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"</table>\n",
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"\n",
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"- After returning a `Movie` object, use the `get_movie_title` and `get_movie_ratings` class methods to retrieve the title and ratings of the Movie, respectively.\n",
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"- The printed result to stdout will be of the format: `The movie <movie title> has a rating of <movie rating>`."
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]
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},
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{
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"cell_type": "code",
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"execution_count": 4,
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"metadata": {},
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"outputs": [],
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"source": [
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"# A:"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.7.1"
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}
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"nbformat": 4,
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