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Analytics to optimize fantasy basketball decisions

License: Apache License 2.0

Python 32.97% CSS 0.46% JavaScript 63.23% HTML 0.81% Dockerfile 0.19% Shell 2.34%

fantasybballanalytics's Introduction

Fantasy Basketball Analytics

ExampleGif

Check it out here: Fantasy Basketball Visualized

My first and personal project involving my hobby of basketball and fantasy sports. Using the API provided by ESPN, I created an ETL datapipeline to create interesting visuals to provide better informed decisions. These include daily alerts of high scoring games and color coded tables to show teams strengths and weaknesses. This project was first written in vanilla javascript using Windows scheduler to run Python scripts. Later it was fully rewritten using modern web designs and serverless methods with React, Apache Airflow, Lambda, DynamoDB, and hosted on Google Cloud Platform using Docker containers.

Technology/Stack

Frontend

HTML5
CSS3
JavaScript
React

Backend

Python
Airflow
Lambda
DynamoDB
Firebase

Deployment

Docker
AWS
GCP

fantasybballanalytics's People

Contributors

e-feng avatar mattchorlian avatar dependabot[bot] avatar nelsonng04 avatar noahendale avatar

Stargazers

avatar avatar

Watchers

James Cloos avatar avatar

Forkers

mattchorlian noahendale

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