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'

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

darrenjrobinson

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

accessToken = None 
requestHeaders = None 
tokenExpiry = None