Scaling Structured Concurrency with Async Python

Learn about structured concurrency in async Python through this 34-minute conference talk that explores error handling, timeouts, cancellation, and code readability benefits. Discover tools like flake8-trio for static analysis and understand how dynamic analysis helps identify potential issues in async programming. Master techniques for writing elegant async code for web scraping, process management, and game development applications, making concurrent programming accessible even for developers new to the concept. Delivered by Zac Hatfield-Dodds, leader of the Assurance team at Anthropic and active open-source contributor to Hypothesis and Pytest, this presentation provides practical insights into building reliable and maintainable concurrent Python applications.