darrenjrobinson

import msal
import jwt
import json 
import requests 
import pandas as pd 
from datetime import datetime

accessToken = None 
requestHeaders = None 
tokenExpiry = None 

GJMcClintock

Introduction to College Football Data Using Python

If you are reading this - you enjoy college football. Or you may just enjoy working with different types of data. Hopefully, you're like me and like both. I am self-taught in Python, so I am by no means the end all be all expert of how to approach things, but if I can figure it out, you can to.

This guide is a fork of Parker Flemings (@statsowar on Twitter) guide "Introduction to College Football Data with R and cfbscrapR". We will go through the same excercises he did, simply with the Python equivalent to his R masterpiece.

If you have any questions - or see any errors - shoot me a tweet @GJMcClintock. This is very pragmagtically done - if it works, it works. None of what I presently deal with is very resource intensive, so I am sure there are much more efficient ways to get the job done. If you have suggestions on tha

mikefromit

logging.py

def setup_logging():
    """Setup Google-style logging

    From: https://github.com/twitter/commons/blob/master/src/python/twitter/common/log/formatters/glog.py
    """
    fmt = '%(levelletter)s%(asctime)s.%(msecs).03d %(process)d %(filename)s:%(lineno)d] %(message)s'