Comments URL: https://news.ycombinator.com/item?id=42908436

Points: 1

# Comments: 0

I built a real-time stock monitoring demo that simulates market data streams to show how to handle multiple real-time updates in Python without complex dependencies like Celery.

Key concepts: - Worker threads for background processing - Event-driven architecture with emitter-listener pattern - WebSocket for real-time updates - Clean separation of concerns

The application uses PynneX (a lightweight Python library) to implement: 1. Signal/slot pattern for event handling 2. Worker thread management 3. Thread-safe task queuing

Technical stack: - FastAPI for the web framework - WebSocket for real-time communication - ag-Grid for interactive data display - eCharts for candlestick visualization

No message brokers, no task queues, no complex setup - just Python's built-in threading and asyncio with a thin event-driven layer.

Quick start:

pip install pynnex fastapi python-socketio uvicorn python examples/fastapi_socketio_stock_monitor.py

Then open http://localhost:8000

Code: https://github.com/nexconnectio/pynnex/blob/main/examples/fa...

Comments URL: https://news.ycombinator.com/item?id=42906834

Points: 3

# Comments: 2

I've been working on a new Python library called PynneX, aimed at making it simpler to build event-driven architectures without relying on heavy frameworks. It started as a personal project while I was experimenting with threading and async features in Python 3.10+ and realized there was a gap in lightweight solutions for signal-slot patterns.

Comments URL: https://news.ycombinator.com/item?id=42559726

Points: 1

# Comments: 0