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Processing Async Jobs in Django
Join us on Tuesday, August 11th for an engaging discussion on building reliable asynchronous applications in Python using Django and Celery.
Modern Python applications often need to handle work that shouldn’t block user requests—from sending emails and processing files to running long-running background jobs. Celery has become one of the most widely used tools for building scalable asynchronous systems, and this session will explore how to design these systems effectively.
In this session, we’ll cover:
- What asynchronous task processing is and why it matters in modern Python applications
- An introduction to Celery and how it powers background jobs
- Different approaches for communicating between web servers and asynchronous workers
- Common pain points and architectural trade-offs when building distributed systems
- Best practices for separating web and worker dependencies
- Practical considerations for deploying and maintaining asynchronous job workers
- Real-world examples of asynchronous processing with Django and Python
Schedule
🍕 Pizza + networking: 5:30 PM
🎤 Talk starts: 6:15 PM
💬 Q&A + networking: 6:50–7:30 PM
Parking
Free parking is available for attendees at Ballpark Village. We’ve included a parking map below to help you find the designated parking area and make your arrival easier.
Parking notice: Due to the Cardinals game, parking prices will be higher than usual. PyData attendees are on the VIP parking list, so please say “PyData” when you arrive at the parking gate to receive free parking.
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📍 Location: Spark Coworking – St. Louis
This session is beginner-friendly and open to anyone interested in Python, Django, backend development, asynchronous programming, distributed systems, software engineering, or scalable web applications.
A big thank you to Spark Coworking – St. Louis for hosting and supporting the St. Louis Python and data science community.
PyData St. Louis is part of the global PyData community. PyData is an educational program of NumFOCUS, a nonprofit organization that promotes open practices in research, data, and scientific computing.
We look forward to seeing you there!