Pyvo Prague #174 - The need for speed & My burnout journey

We are pleased to announce two talks:

The Need for Speed: Pandas, Polars, and PySpark for Data Analysis
Dalibor Trapl
Are you working with a dataset so large that your notebook running Pandas starts to freeze?
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!

My burnout journey
Peter Hozak
A story of a programmer who loves to solve meaningful user problems and thrives best around competent product managers - a story about distance from customers, corporate management fast fashion, and AI slop. Also about communities and going for a walk.

Good to know

• You don’t have to register for this meetup – the actual attendance is much bigger (40–70 Pythonistas) than indicated in the “Going” list here.
• Cash only payments – club doesn’t accept cards.
• Talks at Pyvo are mostly in Czech but it there’s somebody who doesn’t understand Czech talks are switched to English if the speaker is able to do so.
• Besides both soft drinks and beer it's possible to eat at the club. Choice is variable and consists of 4 to 7 options ranging from toast, sausages and soup to fried cheese in a bun, goulash or schnitzel.
• Club closes at midnight.