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Talk Python To Me

#416: Open Source Sports Analytics with PySport

Talk Python To Me

Michael Kennedy

Technology

4.8635 Ratings

🗓️ 22 May 2023

⏱️ 57 minutes

🧾️ Download transcript

Summary

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.

Transcript

Click on a timestamp to play from that location

0:00.0

If you're looking for fun datasets, for learning, for teaching, maybe a conference talk,

0:04.6

or even if you're just really into them, Sports offers up a continuous stream of rich data

0:09.9

that many people can relate to.

0:11.9

Yet, accessing that data can be tricky.

0:14.5

Sometimes it's locked away in obscure file formats.

0:18.1

Other times, the data exists, but without a clear API to access it.

0:22.6

On this episode, we talk about Pysport, something of an awesome list of a wide range of libraries,

0:28.9

mostly but not all Python, for accessing a wide variety of sports data from the NFL, NBA,

0:35.5

F1, and more. We have Kuhn Vassin, the founder of PyeSport,

0:39.5

to talk through some of the more popular projects.

0:42.5

This is Talk Python, episode 416, recorded May 11th, 2023.

0:47.5

Music Welcome to Talk Python, a weekly podcast on Python. This is your host, Michael Kennedy. Follow me on Massadon, where I'm at M. Kennedy, and follow the podcast using at Talk Python, both on

1:11.4

bostodon.org. Be careful with impersonating accounts on other instances. There are many.

1:16.8

Keep up with the show and listen to over seven years of past episodes at Talkithon.fm.

1:22.0

We've started streaming most of our episodes live on YouTube.

1:25.9

Subscribe to our YouTube channel over at TalkP talk python.fm slash YouTube to get notified

1:30.1

about upcoming shows and be part of that episode.

1:33.8

This episode is brought to you by JetBrains who encourage you to get work done with

1:39.0

PiCharm.

1:39.9

Download your free trial of PiCharm professional at TalkPython.fm.

1:43.7

slash done dash with dash pie charm.

1:47.2

And it's brought to you by InfluxDB.

...

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