If you're looking for fun data sets for learning, for teaching, maybe a conference talk, or even if you're just really into them, sports offers up a continuous stream of rich data that many people can relate to. Yet, accessing that data can be tricky. Sometimes it's locked away in obscure file formats. Other times, the data exists but without a clear API to access it. On this episode, we talk about PySport - something of an awesome list of a wide range of libraries (mostly but not all Python) for accessing a wide variety of sports data from the NFL, NBA, F1, and more. We have Koen Vossen, maintainer of PySport to talk through some of the more popular projects. 
 
Links from the show 
 
<div>Koen on Twitter: <a href="https://twitter.com/mr_le_fox" target="_blank" rel="noopener">@mr_le_fox</a> 
PySport on Twitter: <a href="https://twitter.com/PySportOrg" target="_blank" rel="noopener">@PySportOrg</a> 
Calling R from Python: <a href="https://medium.com/analytics-vidhya/calling-r-from-python-magic-of-rpy2-d8cbbf991571" target="_blank" rel="noopener">medium.com</a> 
DuckDB: <a href="https://duckdb.org/why_duckdb.html#duckdbisfeaturerich" target="_blank" rel="noopener">duckdb.org</a> 
PySport Playground: <a href="https://playground.pysport.org" target="_blank" rel="noopener">playground.pysport.org</a> 
NFLVerse: <a href="https://github.com/nflverse" target="_blank" rel="noopener">github.com</a> 
NBA Stats: <a href="https://www.nba.com/stats" target="_blank" rel="noopener">nba.com</a> 
Sports Databases: <a href="https://opensource.pysport.org/?categories=Database&languages=Python&languages=Haskell&languages=R&languages=Other" target="_blank" rel="noopener">opensource.pysport.org</a> 
Data sets: <a href="https://opensource.pysport.org/?categories=Open-data&languages=Python" target="_blank" rel="noopener">opensource.pysport.org</a> 
Visualizations: <a href="https://opensource.pysport.org/?categories=Visualization&languages=Python" target="_blank" rel="noopener">opensource.pysport.org</a> 
I/O: <a href="https://opensource.pysport.org/?categories=IO%20%28Reading%2FWriting%29&languages=Python" target="_blank" rel="noopener">opensource.pysport.org</a> 
Models: <a href="https://opensource.pysport.org/?categories=Model%2FCalculations&languages=Python" target="_blank" rel="noopener">opensource.pysport.org</a> 
Scrapers/APIs: <a href="https://opensource.pysport.org/?categories=Scraper%2FAPI&languages=Python" target="_blank" rel="noopener">opensource.pysport.org</a> 
Fast F1: <a href="https://docs.fastf1.dev" target="_blank" rel="noopener">docs.fastf1.dev</a> 
Fast F1 graphics: <a href="https://docs.fastf1.dev/examples_gallery/" target="_blank" rel="noopener">docs.fastf1.dev</a> 
Pysport Intro: <a href="https://pysport.org/2020/06/25/sports-analytics-meets-open-source/" target="_blank" rel="noopener">pysport.org</a> 
 
New Talk Python Training Apps: <a href="https://talkpython.fm/apps" target="_blank" rel="noopener">talkpython.fm</a> 
Michael's blog post about the apps: <a href="https://mkennedy.codes/posts/mobile-apps-at-talk-python-python-flutter/" target="_blank" rel="noopener">mkennedy.codes</a> 
Watch this episode on YouTube: <a href="https://www.youtube.com/watch?v=s33rjImDklk" target="_blank" rel="noopener">youtube.com</a> 
 
--- Stay in touch with us --- 
Subscribe to us on YouTube: <a href="https://talkpython.fm/youtube" target="_blank" rel="noopener">youtube.com</a> 
Follow Talk Python on Mastodon: <a href="https://fosstodon.org/web/@talkpython" target="_blank" rel="noopener">talkpython</a> 
Follow Michael on Mastodon: <a href="https://fosstodon.org/web/@mkennedy" target="_blank" rel="noopener">mkennedy</a> </div> 
Sponsors 
<a href='https://talkpython.fm/done-with-pycharm'>PyCharm</a>
<a href='https://talkpython.fm/influxdata'>influxdata</a>
<a href='https://talkpython.fm/training'>Talk Python Training</a>

Podurama

Home

Trending

Personal

Your Podcasts

New Episodes

My Files

Favourite Episodes

Tags (Folders)

Recently Played

Bookmarks

Followed Playlists

#416: Open Source Sports Analytics with PySport

Talk Python To Me

AI Chapters

AI Insights

Reviews