
První Pyvo v novém roce. Podíváme se na dizajn API a Polars, rychlou, škálovatelnou alternativu k Pandas.
Poslední čtvrtek v měsíci v ArtBaru, jako obvykle.
First Pyvo of the new year. We'll take a look at API design and Polars, fast and scalable alternative to Pandas.
Last Thursday of the month at ArtBar, as usual.
Let's deep dive into popular APIs and see how the authors make them work. Expect to see some import magic, a LOT of decorators, chaining, proxy objects, and introspection.
Ladislav Dobrovský works as researcher at CEITEC BUT with HPC systems and uses Python since 3.3 (2012). Likes also C++ and GPUs.
This talk is about modern alternatives for fast and scalable data analysis. Our main focus will be the Polars DataFrame library, which offers a dramatic speed improvement compared to Pandas. We will show when it pays off to use Polars instead of Pandas and discuss the key difference in approach: eager vs. lazy evaluation. We will briefly compare Polars with PySpark and I will share our experience integrating these technologies into our data pipelines. Learn how to speed up your data analysis and modernize your tech stack!
Hi, I’m Dalibor. I moved from computational molecular simulation research to a Data Analyst role at Datamole during COVID lockdown. My daily work revolves around time-series analysis. I started out as a Pandas power user and have been adopting the latest tools in the Python data stack in recent years.
ArtBar Druhý Pád, Štefánikova 836/1
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