Quinten Lisowe Mockapapella

List of NFL API Endpoints

This page has been updated a lot in the past 3 years. Older revisions you might like more than this one:

June 2021 - list of endpoints for other sports/leagues (i.e. nba, nhl, mlb)
August 2021 - get historical fantasy league data
September 2021 - list of endpoints in plain text
May 2023 - collapsed endpoint response examples
Mar 2025 - endpoint

58 bytes of CSS to look great nearly everywhere

When making this website, i wanted a simple, reasonable way to make it look good on most displays. Not counting any minimization techniques, the following 58 bytes worked well for me:

main {
  max-width: 38rem;
  padding: 2rem;
  margin: auto;
}

Simple automated GIT Deployment using GIT Hooks

Here are the simple steps needed to create a deployment from your local GIT repository to a server based on this in-depth tutorial.

How it works

You are developing in a working-copy on your local machine, lets say on the master branch. Most of the time, people would push code to a remote server like github.com or gitlab.com and pull or export it to a production server. Or you use a service like deepl.io to act upon a Web-Hook that's triggered that service.

	import os; import psutil; import timeit
	from datasets import load_dataset

	mem_before = psutil.Process(os.getpid()).memory_info().rss >> 20
	wiki = load_dataset("wikipedia", "20200501.en", split='train')
	mem_after = psutil.Process(os.getpid()).memory_info().rss >> 20
	print(f"RAM memory used: {(mem_after - mem_before)} MB")

	s = """batch_size = 1000
	for i in range(0, len(wiki), batch_size):