sportsdata 0.0.16

APIs for gathering data from professional sport websites

sportsdata

Collection of sports data objects, APIs, Website (data), and factual data for each sport such as teams, rosters, etc. The goal is to integrate both my own work and any relevant eligible libraries that are on GitHub. Collaboration on this project is definitely hoped for.

Currently this library includes:

• API for NBA

Installing sportsdata

sportsdata can be installed via pip.

pip install sportsdata

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

• Dropwizard - The web framework used

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	Note
https://github.com/bradleyfay/py-Goldsberry	NBA Api Reference.
https://github.com/roclark/sportsipy	nba.teams,

• 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.