Tag, but do not release, a spot for v1 that includes the old BeautifulSoup HTML parsing version of the code. This will distinguish it from the eventual API-based v2.

Create a Twitter ( or "X") account for this work. Then tweet each week's results with graphs publicaly through the Twitter python API.

To what extent is this possible?

Issue

ESPN's AP Top 25 website code routinely changes, breaking this repo's code each time. Thus, the master branch as of this posting is broken. And, it will likely return to being broken even if this version of the code is continued to be used.

Solution

Move to a more stable API-based method of gleaning the Top 25 + "others receiving votes" like is suggested in #7.

Establish a license for this work. Currently leaning towards GNU GPL v3.0.

Is this the optimal license for this work?

Establish a webpage directly out of this repository using GitHub Pages

TODO:

• Establish the GitHub Page (see https://pages.github.com/?(null)).
• Move old blog posts to a page on the website.
• Summarize project in a new, overarching blog post on the website.
• Include links to old rankings' data and XC scores
• Include links to graphs for past seasons.

This is the only place I know where I can leave a note-to-self quickly.

From ChatGPT on rewriting this package with the cfbd Python API:

Here's an example code snippet that retrieves the most recent AP Top 25 college football standings using the cfbd Python package and stores the results in a pandas dataframe:

import pandas as pd
from cfbd import AP_TOP_25

# Retrieve the AP Top 25 college football standings
standings = AP_TOP_25()

# Create empty lists to store the data
teams = []
votes = []
conferences = []

# Iterate through the standings and extract the required information
for team in standings:
    teams.append(team.team.full_name)
    votes.append(team.votes)
    conferences.append(team.team.conference)

# Create a pandas dataframe using the collected data
df = pd.DataFrame({'Team': teams, 'Votes': votes, 'Conference': conferences})

# Print the dataframe
print(df)

Make sure you have the cfbd package installed (pip install cfbd) before running the code. The code utilizes the AP_TOP_25() function from cfbd to retrieve the AP Top 25 standings. It then iterates through the standings, extracts the team name, votes received, and conference for each team, and stores them in separate lists. Finally, it creates a pandas dataframe using the collected data and prints the resulting dataframe.

Please note that the cfbd package relies on external APIs and the availability of data. Ensure you have an active internet connection to retrieve the latest standings.

Add a README complete with a summary of the idea of the project complete with links to the blog, a rundown of how this code (v2) works, and embed this tweet!

Is this a real tweet? https://t.co/8doSdncTkA

— Connor O'Gara (@cjogara) January 18, 2023