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.
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Large language models and chat-based AIs are kind of mind blowing at the moment. Many of us are playing with them for working on code or just as a fun alternative to search. But others of us are building applications with AI at the core. And when doing that, the slightly unpredictable nature and probabilistic nature of LLMs make writing and testing Python code very tricky. Enter promptimize from Maxime Beauchemin and Preset. It's a framework for non-deterministic testing of LLMs inside our applications. Let's dive inside the AIs with Max.
Think about the different APIs and databases your application works with. Every one of them requires either an API key or a database connection string that itself contains a password. How do you let your application access this sensitive information without storing it in source code or putting in other compromising locations? We have Glyph Lefkowitz on the show to share his security fable as well as just good advice for keeping secrets out of Python code.
Great show!Michael highlights all aspects of tech, software development and more in this can’t miss podcast! The host and expert guests offer insightful advice and information that is helpful to anyone that listens!
Great showMichael finds great guests for the show and really motivates me to become a better Python programmer. Thanks for all the effort.
If you care about Python at all, you need to listen to this podcastWow. What can I say? Michael Kennedy is the best! His passion for Python is infectious. He pours it into his work and it shows. He takes time to keep up with what's going on and to make connections with people doing amazing things. Then he does amazing interviews with those amazing people. I look forward to this podcast more than any other podcast!
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