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APIs for gathering data from professional sport websites

Project description

sports

API interfaces for various public sports data. Currently focused on MLB and NBA data with hopes to expand to other known data sources.

Getting Started

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes. See deployment for notes on how to deploy the project on a live system.

Prerequisites

What things you need to install the software and how to install them

pip install sports

Installing

A step by step series of examples that tell you how to get a development env running

Say what the step will be

Give the example

And repeat

until finished

End with an example of getting some data out of the system or using it for a little demo

Running the Tests

Explain how to run the automated tests for this system

Break down into end to end tests

Explain what these tests test and why

Give an example

And coding style tests

Explain what these tests test and why

Give an example

Deployment

Add additional notes about how to deploy this on a live system

Built With

Contributing

Please read CONTRIBUTING.md for details on our code of conduct, and the process for submitting pull requests to us.

Versioning

We use SemVer for versioning. For the versions available, see the tags on this repository.

Authors

David Orkin - First Draft - OrangeCardinal

See also the list of contributors who participated in this project.

License

This project is licensed under the Apache License 2.0 - see the LICENSE.md file for details

Acknowledgments

These are the various sources referenced while building this library

URL Comment
https://github.com/bradleyfay/py-Goldsberry NBA Api Reference.
col 2 is centered
  • Thanks for the README.md template from Billie Thompson PurpleBooth!

Major League Baseball Data Major league baseball offers various API endpoints.

This is a simple example package. You can use Github-flavored Markdown to write your content.

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