This is an introduction to working with nflscrapR data in Python. This is inspired by this guide by Ben Baldwin.
Using Jupyter Notebooks which come pre-installed with Anaconda is typically the best way to work with data in Python. This guide assumes you are using the Ananconda distribution and therefore already have the required packages installed. If you are not using the Anaconda distribution, install numpy, pandas, and matplotlib.
Once Anaconda has been downloaded and installed, open the Anaconda Navigator. Click launch on the Jupyter Notebook section which will open in your browser.
There are a couple ways to get nflscrapR data. While you don't necessarily need R for historical data, it is necessary for getting data that has not been uploaded to github. My preferred process is to get data u