Big Play Alerts

Kevin Feasel

2016-09-07

Python

Allison Tharp has a Python script to track extremely important events:

First, we get the game data for the game we want.  In this instance, I am getting game data for the Indianapolis vs Cincinnati game in the 4th week of the 2016 preseason and setting it to the variable g.  Next, we will get the current number of scoring plays (scores0), number of home/away team turnovers (home/awayto0), number of home/away penalties (home/awaypenalty0), and finally, the number of yards that resulted from home/away penalties (home/awaypenyds0).

The rest of the script runs while the game is still in progress.  To check if the game is in progress, we use g.game_over().  If this object is False, the game is ongoing:

I did not know about the nflgame module and I think my life has just become better as a result of learning about this.

Related Posts

Building TensorFlow Neural Networks On Spark With Keras

Jules Damji has an example of using the PyCharm IDE to use Keras to build TensorFlow neural network models on the Databricks MLflow library: Our example in the video is a simple Keras network, modified from Keras Model Examples, that creates a simple multi-layer binary classification model with a couple of hidden and dropout layers and […]

Read More

Executing ML Services Scripts From Jupyter Notebooks

Kyle Weller has an inception moment with Python and SQL Server Machine Learning Services: While this example is trivial with the Iris dataset, imagine the additional scale, performance, and security capabilities that you now unlocked. You can use any of the latest open source R/Python packages to build Deep Learning and AI applications on large […]

Read More

Categories

September 2016
MTWTFSS
« Aug Oct »
 1234
567891011
12131415161718
19202122232425
2627282930