What are the use cases for Trio and Asyncio in Python?

What are the main differences between Trio and Asyncio in Python?

Trio and Asyncio are both libraries for asynchronous programming in Python, but they have different design philosophies. Trio focuses on simplicity and structured concurrency, while Asyncio is more flexible but can be more complex.

Can you give me some specific use cases for each?

Sure! Trio is great for applications that require structured concurrency, like web servers or network applications. Asyncio is often used for I/O-bound tasks, such as web scraping or handling multiple network connections.

Which one should I choose for a new project?

It depends on your project's requirements. If you need simplicity and structured error handling, go with Trio. If you need more control and flexibility, Asyncio might be the better choice.

Are there any performance differences between them?

Performance can vary based on the specific use case, but generally, both libraries are efficient. Asyncio may have a slight edge in performance for certain I/O-bound tasks due to its maturity and optimizations.