WIP: Python NBA Data Pipeline

Steps:

1. install mysql: https://dev.mysql.com/downloads/installer/
2. set up username and password
3. mysql server start
4. mysql -u <USER_NAME> -p
5. type in password
6. create database nba_data;
7. create creds file in form of (see MySqlCredExample.json):

{
  "Username": <USER_NAME>,
  "Password": <PASSWORD>
}

8. install Anaconda: https://www.anaconda.com/distribution/
9. conda env create

Commands

Download Game Log

python3 -m src.etl.game_log -h

Download Box Scores Traditional

python3 -m src.etl.box_score_traditional -h

Download Box Scores Advanced

python3 -m src.etl.box_score_advanced -h

Download Play By Play

python3 -m src.etl.play_by_play -h

Download Players At The Start Of Each Period

python3 -m src.etl.players_on_court_per_period -h

Download Player Season Totals

python3 -m src.etl.player_season_totals -h

Download Tracking Data

python3 -m src.etl.player_tracking_season_totals -h

Download Win Probability

python3 -m src.etl.win_probability -h

Download Shots

python3 -m src.etl.shots -h

Download Season

python3 -m src.etl.download_season -h python3 -m src.etl.download_season -s 2018-19 -st 'Regular Season' --run-all