Concurrency is essential for building scalable network applications, and Python offers several ways to achieve it. In this session, we’ll explore Python’s concurrency models through the lens of socket programming.

We’ll begin with Multi-threading and examine how the Global Interpreter Lock (GIL) affects performance. Then we’ll look at single-threaded alternatives using the selectors module, introducing the idea of an event loop and how it helps manage multiple socket connections efficiently. Finally, we’ll dive into asyncio, to understand how it builds on these lower-level ideas to provide a high-level, structured approach to asynchronous I/O. If you’re curious about how to write fast, modern, and scalable network applications in Python, this session will give you the tools and mental models to get started.

Takeaways:
1. Grasp Python’s key concurrency models for socket programming
2. Learn how selectors enables efficient I/O multiplexing
3. Understand asyncio through examples