Collection of sports data objects, APIs, Website (data), and factual data for each sport such as teams, rosters, etc. Currently this library includes:
- API for NBA
sportsdata can be installed via pip.
pip install sportsdataA 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
Explain how to run the automated tests for this system
Explain what these tests test and why
Give an example
Explain what these tests test and why
Give an example
Add additional notes about how to deploy this on a live system
- Dropwizard - The web framework used
Please read CONTRIBUTING.md for details on our code of conduct, and the process for submitting pull requests to us.
We use SemVer for versioning. For the versions available, see the tags on this repository.
David Orkin - First Draft - OrangeCardinal
See also the list of contributors who participated in this project.
This project is licensed under the Apache License 2.0 - see the LICENSE.md file for details
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.