TechMeetup #38: PyData Prague meets TechMeetup Ostrava

We’re bringing together two great communities for one special evening in Ostrava!

For the first time, TechMeetup Ostrava and PyData Prague are joining forces to create a meetup dedicated to Data and Python. Expect inspiring talks, practical insights, and plenty of space for discussion and networking.

What you can look forward to:

• Talks from experts in Python, ML, and real-world data applications
• A relaxed atmosphere where you can meet new people, share ideas, and connect across communities

This event is open to everyone – whether you’re an experienced engineer, data scientist, or just curious about the world of Python and machine learning.

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.

Schedule

• 17:00 Doors open
• 17:30 Welcome
• 17:35 – 18:45 First block of awesome talks
• 18:45 – 19:00 Break
• 19:00 – 20:00 Second block of awesome talks
• 20:00+ Hangout & networking — and afterwards we’ll head to the pub

- All talks will be in English -

Kill GIL: How Python 3.14 Changes Concurrent Programming Darius Kryszczuk

Python 3.14 introduces the long-awaited ability to disable the Global Interpreter Lock (GIL). Although this feature is still experimental, it has the potential to fundamentally reshape concurrent programming in CPython. This talk will explore the implications of GIL removal, focusing on how it enhances parallelism, the performance improvements for multi-threaded applications, and the challenges developers may encounter as they adapt to this new paradigm.

How Do We Read the Genome? Martina Zátopková

The genome is the complete set of genetic information stored in the DNA molecule, which serves as a template for the development and functioning of an organism. In this lecture, we will explore the principles of DNA sequencing from classical methods to modern platforms as well as the bioinformatics approaches used to transform raw data into meaningful insights that can be applied, for example, in medicine or evolutionary biology.

How Rankacy Analyzes Millions of Games - Python at the Heart of Esports Data Alena Martinková & Emanuel Dopater

Python is at the core of our analytics platform, which processes over 8,000 game records daily, each approximately 500 MB in size. Over the past two years, we have accumulated more than 200 TB of data, equivalent to 1,600 years of game time from over 7 million players—and our goal is to increase this user count tenfold.

This talk will cover how we transitioned from Go and C++ parsers connected via PyBind to data frames in Python, how our analyses evolved from Pandas to Polars, and why we migrated our backend from Django to FastAPI. Finally, we will share our real-world experience with performance optimization, leveraging RabbitMQ, Redis, and process monitoring in an environment where Python bridges the worlds of game data and AI analysis.

Random, but not really Lumír Balhar

How computers generate numbers for different purposes Ever wondered how your computer decides what’s “random”? Let’s peek behind the curtain — and see why getting it wrong can be disastrous.

Please, RSVP here.

See you soon, TechMeetup Ostrava & PyData Prague team

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