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Python web application that utilizes matplotlib and Pandas to compare statistics between different soccer players and teams. Leveraged the Django REST framework to create an API that connects our database to a React frontend.

Home Page: https://clasico.netlify.app

Python 50.83% JavaScript 46.78% HTML 1.77% CSS 0.33% Shell 0.07% Dockerfile 0.21%
django-rest-framework reactjs matplotlib pandas redux numpy aws-s3 docker

soccer-analyzer's Introduction

Clasico

This is a Full Stack web application that compares statistics between different soccer players and teams.

We utilized several Python modules such as matplotlib, pandas, and numpy to perform the statistical analysis between two players or teams and to customize the algorithm for player ratings.

We leveraged the Django REST Framework to create an API that connects our database to a React/Redux frontend.

We cached API results from external soccer related APIs into sqlite3 to reduce the number of calls and increase response time.

We used AWS S3 and boto3 to store the graphs created by matplotlib.

We containerized the backend using Docker and deployed the container to Heroku. Finally, we deployed the frontend to Netlify.

soccer-analyzer's People

Contributors

tahmid2000 avatar mahbu006 avatar

Watchers

James Cloos avatar avatar

soccer-analyzer's Issues

Error handling

Send 500 status code from backend if football api stops responding.

Handle error appropriately in front end.

Loading screen for Team Compare

Figure out how to make loading screen show up when data for team h2h is being fetched. Right now it just shows null values.

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