Eastern Conference

Team	W	L	Last10Games
Milwaukee Bucks	58	24	6W4L
Boston Celtics	57	25	8W2L
Philadelphia 76ers	54	28	5W5L
Cleveland Cavaliers	51	31	7W3L
New York Knicks	47	35	5W5L
Brooklyn Nets	45	37	6W4L
Miami Heat	44	38	6W4L
Toronto Raptors	41	41	6W4L

Western Conference

Team	W	L	Last10Games
Denver Nuggets	53	29	5W5L
Memphis Grizzlies	51	31	6W4L
Sacramento Kings	48	34	5W5L
Phoenix Suns	45	37	7W3L
LA Clippers	44	38	6W4L
Golden State Warriors	44	38	8W2L
Los Angeles Lakers	43	39	8W2L
Minnesota Timberwolves	42	40	7W3L

The nba-standings-python repo is last updated on 2024-05-23

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How it works

The script uses an API key that is stored in a GitHub secret to authenticate with the Rapid API. The API key is passed as an environment variable to the script, which then uses it to make the API request. The script retrieves the standings data as a JSON object, parses it using the json library, and creates a pandas DataFrame containing the standings for each conference.

The script then sorts the standings by wins and losses and selects the top 8 teams from each conference. The standings for each conference are then formatted as markdown tables using the to_markdown() method of the pandas DataFrame. The markdown tables are then appended to the end of the README.md file.

How to use it

To use this script, you need to have a Rapid API account and an API key that has access to the standings endpoint. You should store your API key as a secret in your GitHub repository, which can be accessed by the script during execution.

To schedule the script to run at a regular interval, you can use a GitHub Actions workflow that is triggered by a schedule event. The workflow YAML file should specify the interval at which the script should run, as well as the timezone in which the script should be executed. An example workflow YAML file is included in this repository, which you can modify to suit your needs.