Presentation#
- Topic: Async Python: Concurrency Without the Headaches
- Language: English
- Date: July 17, 2025
- Co-presenter: Mateusz Zaremba, Application Architect at Ørsted
I presented on asynchronous programming in Python at EuroPython 2025 in Prague alongside my colleague Mateusz Zaremba. Our session demystified core async concepts like async, await, and the event loop, making them accessible to developers at all levels. The talk covered the asyncio ecosystem, common patterns like asyncio.gather and task coordination, and demonstrated practical implementations for concurrent API calls and database operations. We also introduced Asyncer, a modern library that simplifies async workflows for developers looking to enhance their async skills.
The presentation included:
- Clear explanations of why and when to use async in Python
- Visual comparisons of synchronous vs. asynchronous workflows
- Live coding examples of common async patterns
- Real-world use cases for web applications, database queries, and task scheduling
- Tips on integrating sync and async code without blocking the event loop
For a detailed summary of the presentation, including key takeaways and resources, check out my blog post on Async Python Concurrency.
Event#
- Date: July 14-20, 2025
- Location: Prague Congress Centre, Prague, Czech Republic
- Website: https://ep2025.europython.eu/
- Recording: Available after the event
More#
EuroPython is the world’s oldest volunteer-led Python conference, bringing together over 1,300 Python enthusiasts from around the globe. The 2025 edition in Prague featured:
- 180+ expert speakers
- 7 days of Python content
- Keynote presentations from Brett Cannon (CPython Core Developer), Sebastián Ramírez (creator of FastAPI), and Savannah Ostrowski (CPython Core Developer & JIT Maintainer)
- Workshops, tutorials, and open spaces
- Networking opportunities and social events
This prestigious event offered an excellent opportunity to connect with the global Python community and stay updated on the latest developments in the Python ecosystem.