basketballrelativity

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Sports data scientist focused on basketball and baseball.

Funding Links: https://github.com/sponsors/basketballrelativity

• Name: Patrick McFarlane
• Location: Philadelphia
• Kind: user
• Followers: 72
• Following: 6
• Total stars: 190
• Repositories count: 39
• Created at: 2023-05-11T02:26:11.001Z
• Updated at: 2025-05-04T03:04:12.185Z
• Last synced at: 2025-05-04T03:04:12.185Z

GitHub Sponsors Profile

My open source work is solely dedicated to democratizing public basketball data and lowering the barrier to entry for those interested in sports analytics. This is done in two main ways:

py_ball: My Python package, an API wrapper for stats.nba.com with a focus on NBA and WNBA applications. This allows users to more easily interact with public professional basketball data. You can learn more here.
Tutorials: By leveraging the above package, I write interactive tutorials on introductory analytics concepts using Jupyter notebooks. The tutorials all have a basketball application, but leverage the skills of data cleansing/transforming, data visualization, and predictive modeling. You can view the tutorials in their individual repositories under my GitHub profile.

Your support would aid in the development of both the above. Expanding the data sources that can be accessed via py_ball would create more possibilities for analysis and exploration. More tutorials could then be written to guide users through the additional data.
Thank you for your consideration!

• Current Sponsors: 0
• Past Sponsors: 0
• Total Sponsors: 0
• Minimum Sponsorship: $1.00

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