Name: PyData Zurich: CI/CD and GLMs
Start: 2024-08-27T18:00:00+02:00
End: 2024-08-27T20:00:00+02:00
Location: Resilient Studios

**Talk #1: Streamlining Python Development: A Practical Approach to CI/CD with GitHub Actions**
Crafting code for minimal dependencies and maximum portability is an art. This talk focuses on how continuous integration and delivery ensure project resilience to Python updates and changes in the packaging ecosystem. Setting up automation around your project enhances peace of mind, improves code maintainability, and facilitates collaboration.

**Talk #2: Fast and user-friendly GLMs with glum 3**
In this talk, we will explore the inner workings of the glum library for Generalized Linear Models (GLMs). After it, you will have a better understanding of how glum can accelerate your GLM modeling in Python. We will also discuss recently introduced features that help lessen the burden of feature preprocessing.

The talks will be followed by an apéro sponsored by [QuantCo](https://www.quantco.com/).

Kevin Klein

PyData Zurich

PyData

Promoting accessible and reproducible computing in science & technology

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Machine Learning

Open Source

Software Engineering

Database Applications

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Data Engineering

Artem is a software engineer who codes for fun and profit. Proudly affiliated with the EuroPython Society, he is committed to share his knowledge at conferences and actively contibutes to Python community events. As a Pythonista, he loves crafting elegant and maintainable software. Beyond coding, he finds joy in long-distance running and the thrill of speeding down ski slopes.

Matthias is an economist and data scientist who works at QuantCo. At QuantCo, he's been working on various topics, including learning pricing strategies from data. Prior to joining QuantCo, he graduated from his PhD at the European University Institute, where he worked on Econometrics for Asset Pricing and Public Health.

PyData Zurich

PyData Zurich: CI/CD and GLMs

PyData Zurich

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