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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

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title	author	date	output
Making Graphs with CFB Logos	Parker Fleming @statsowar	1/24/2020	html_document

College Football Graphs with R

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title	author	date	output
Introduction to College Football Analytics with R	Parker Fleming @statsowar	1/10/2020	pdf_document html_document default default

Introduction to College Football Data with R and cfbscrapR

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Basic nflscrapR tutorial

I get a lot of questions about how to get nflscrapR up and running. This guide is intended to help new users build interesting tables or charts from the ground up, taking the raw nflscrapR data.

Quick word if you're new to programming: all of this is happening in R. Obviously, you need to install R on your computer to do any of this. Make sure you save what you're doing in a script (in R, File --> New script) so you can save your work and run multiple lines of code at once. To run code from a script, highlight what you want, right click, and select Run line. As you go through your R journey, you might get stuck and have to google a bunch of things, but that's totally okay and normal. That's how I wrote this thing!

A huge thank you to Josh Hornsby (@Josh_ADHD) and Zach Feldman (@ZachFeldman3) for sharing code snippets for me to work with, and of course to the nflscrapR team ([Maksim Horowitz](https://twit

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##################################
# If this is your first time working with R, 
# tidyverse, devtools, remotes, ggimage, cfbscrapR, or GT:
# Uncomment (highlight and Ctrl-Shift-C) 
# and install by running (highlight and Ctrl-C)  the below six lines as necessary
# install.packages("tidyverse")
# install.packages("devtools")
# install.packages("remotes")
# install.packages("ggimage")
# devtools::install_github("meysubb/cfbscrapR")

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ESPN's hidden API endpoints

Football

College Football

Latest News: http://site.api.espn.com/apis/site/v2/sports/football/college-football/news

Latest Scores: http://site.api.espn.com/apis/site/v2/sports/football/college-football/scoreboard