Modern Python: Concurrency and Error Handling

Are you finding it difficult to manage multiple asynchronous tasks and their errors in Python? Modern additions to the language and its standard library offer a much cleaner and more reliable way to write concurrent code. This course provides a focused, practical guide to building resilient asynchronous applications. You will move beyond basic `async`/`await` and learn the principles of structured concurrency, enabling you to write code that is easier to reason about, debug, and maintain. What you'll learn: - Understand the core principles of structured concurrency and why it improves code reliability. - Manage groups of asynchronous tasks elegantly using `asyncio.TaskGroup`. - Handle multiple, simultaneous errors from concurrent operations with `ExceptionGroup`. - Use the `except*` syntax to cleanly process complex exception hierarchies. - Apply best practices for error propagation and cancellation in `asyncio` applications. - Write basic tests for your concurrent code to ensure its correctness. The course begins with the foundational concepts behind these modern features before diving into practical examples. You'll work through clear, text-based explanations and code snippets to solidify your understanding. This course is designed for Python developers who have some familiarity with `asyncio` but are new to `TaskGroup` and `ExceptionGroup`. No prior experience with structured concurrency is required. Start learning how to write more robust and modern asynchronous Python code.