PyData Prague #30 - Pro: To Type Asynchronously

Hello data explorers and Python magicians!

The 30th Prague PyData meetup will be hosted at Qminers offices right in the heart of Prague's city center. The talks will start at 18:30 and we encourage you to come as soon as 18:00 to enjoy the opportunity to socialise and refresh yourselves (which you can continue doing during the break and after the talks).

🤗 Our main goal is to build the community around Python and data and make it welcoming to people of various skills and experience levels.

⚡ If you are interested in giving a lightning talk (up to 5 minutes to present an idea, tool or results related at least to some degree to Python and/or data), please contact us before or during the event.

📢 Prototype: A framework that lets analysts focus on ideas, not code
Daria Bilan
We’ve streamlined the classic loop — generate data, train a model, report results — into a single, user-friendly toolkit that handles the unglamorous parts of experiments: parallelism, caching, storage, and report generation. We’ll focus on the analyst experience and how small UX choices compound into faster iteration.

📢 Async to Distributed: Concurrency Patterns for Data Processing
Jakub Urban
How to make your Python data workflows scale and run faster? We will explore built‑in concurrent.futures and asyncio patterns, and then show if and how to scale using frameworks like Dask or Ray. We will focus on practical recipes for CPU (or GPU) and memory demanding tasks, typical for data processing

The venue will open at 18:00, but the intro won’t start before 18:30.

Refreshments will be available, thanks to our generous sponsors at Qminers.

Please, RSVP here.
See you soon,
PyData Prague team