7.2.9 Top Movies Fixed -

This guide explains how to complete the 7.2.9 Top Movies assignment, a common Python exercise in CodeHS AP Computer Science Principles

that teaches list initialization, indexing, and item reassignment. 1. Initialize the Movie List

Create a list containing four of your favorite movie titles. In Python, lists are defined using square brackets and strings are enclosed in quotes. # Create a list of your favorite 4 movies movie_list The Matrix Interstellar Use code with caution. Copied to clipboard 2. Access the First Element Print the first item in the list. Python uses zero-based indexing , meaning the first element is at index . Access it using list_name[0] # Print out the 0th element in the list print(movie_list[ Use code with caution. Copied to clipboard 3. Reassign a List Value

Update the first element of your list to "Star Wars". You can change an existing item in a list by assigning a new value to its specific index. # Set the 0th element to be "Star Wars" movie_list[ Use code with caution. Copied to clipboard 4. Verify the Update

Print the first element again to confirm that the change was successful. # Print it out again to see the change print(movie_list[ Use code with caution. Copied to clipboard Full Solution Code You can find similar logic and flashcards for this unit on or homework help sites like # Final CodeHS 7.2.9 Solution movie_list ] print(movie_list[ ]) movie_list[ print(movie_list[ Use code with caution. Copied to clipboard Restatement of the Answer The exercise demonstrates that Python lists are

, allowing you to change individual elements by referencing their for the first position. to the end of this list next? 7.2.9 Top Movies


Tips

Filter: movies with at least 1 million votes

filtered = [m for m in movies if m["votes"] >= 1000000]

Suggested themed mini-playlists (3-film sets)

7.2.9 Top Movies

Filter by minimum votes

df_filtered = df[df['votes'] >= 1000]

Example (Python with a list of dictionaries)

movies = [
    "title": "The Dark Knight", "rating": 9.0, "votes": 2300000,
    "title": "Inception", "rating": 8.8, "votes": 1900000,
    "title": "Shawshank Redemption", "rating": 9.3, "votes": 2700000,
    "title": "Avatar", "rating": 7.9, "votes": 1200000,
]

Example Analysis

If "7.2.9 Top Movies" refers to a specific list:

  • Identifying the List: First, determine what movies are included in this list.
  • Understanding the Context: Is this list compiled from a specific source, such as IMDb, Rotten Tomatoes, or a film studies textbook?
  • Analyzing the Movies: Look at the genres, directors, release years, and any notable themes or elements in these movies.

Without the specific details of the "7.2.9 Top Movies" list, this analysis remains general. If you have the actual list or more context, you could provide more targeted insights into the movies and their rankings.

In the context of the CodeHS AP Computer Science Principles curriculum, 7.2.9 Top Movies is a programming exercise designed to teach the fundamental concepts of list manipulation and indexing in Python. Programming Objectives This guide explains how to complete the 7

The core purpose of this exercise is to demonstrate how to perform three essential operations on a list data structure:

List Initialization: Creating a collection of items (in this case, movie titles) assigned to a single variable.

Accessing Elements: Using zero-based indexing to retrieve the "0th" element (the first item) from the list.

Mutable Data: Modifying an existing element within the list by assigning a new value to a specific index. Typical Exercise Requirements

Students are typically instructed to perform the following sequence: Watch out for tie ratings — secondary sort

Create a list: Define a variable (often named movies) containing four favorite film titles.

Initial Output: Print the first movie in the list using movies[0]. Modification: Change that first movie to "Star Wars".

Final Output: Print the first element again to verify that the value has successfully updated in memory. Implementation Example

A standard solution to this exercise looks like the following Python block: