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Activities & events
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PyData Zurich: Causal Inference & Python Package Managment
2023-06-27 · 15:45
After a long time of hibernation, the PyData Zurich meetup is finally back! We would like to rekindle the community and provide regular meetups with talks revolving around all things data in the Python ecosystem. Schedule:
Talk 1: Uplift Modelling: An Overview - Matteo Courthoud Abstract: When evaluating a policy, we are interested in its incremental effect, the uplift. Uplift modelling combines techniques from causal inference and machine learning to estimate individual effects. Knowing the distribution of incremental effects rather than just the average allows for a better understanding of the policy mechanism and for effective targeting. In this talk, we will overview existing uplift modelling techniques from both a theoretical and applied perspective, using a toy business case. Talk 2: Python Package Management: Future, Present, Past - Wolf Vollprecht Abstract: Have you ever wondered how a package manager works? What are the differences between pip and conda and mamba? This talk gives a brief history of software package management software, particularly in the Python space, and shines some light on more recent advancements. We will discuss
Recently the team at prefix.dev took a deep dive into the Python resolver (resolvelib) and ported it to Rust – we will also discuss how that went, and how SAT solvers make modern package management possible. As an outlook we will take a look at some up-and-coming technologies in the package management space:
This event is kindly hosted by QuantCo. Find out more at https://www.quantco.com/. |
PyData Zurich: Causal Inference & Python Package Managment
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