What are the limitations of using async in Django?
An example of an AI chatbot conversation about Django's async limitations.
What are the limitations of using async in Django?
Django's async support is still evolving. Some limitations include compatibility issues with synchronous code and middleware.
Can I use async views with Django's ORM?
No, Django's ORM is synchronous, so using it in async views can lead to blocking calls. You might need to use async-compatible libraries.
What about third-party packages? Are they async-friendly?
It depends on the package. Some third-party libraries are designed for async, while others may not support it well.
How can I handle database operations in async views?
You can use libraries like databases or Tortoise-ORM that are built for async operations with databases.
Are there any performance benefits to using async in Django?
Yes, async can improve performance for I/O-bound tasks, allowing your application to handle more requests concurrently.
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