How to distinguish between multithreaded execution of processes and asynchronous task processing?

Multithreading and asynchronous processing are different concepts, although both allow tasks to be executed in parallel.

• Multithreading involves launching multiple OS threads that can run simultaneously on different CPU cores. Each thread has its own stack and can execute code in parallel with others. This is useful for tasks requiring concurrent execution but requires synchronization for shared resources.

• Asynchronous processing is a way of organizing code where tasks do not block the main thread but are executed using events, callbacks, or coroutines. In Python, this is often implemented through asyncio. Asynchronous does not necessarily mean parallel execution on multiple cores — it is more often a single-threaded event loop that switches between tasks when waiting for I/O.

Example:

• Multithreaded code using threading launches multiple threads that can work simultaneously.
• Asynchronous code with asyncio uses a single thread and switches between tasks when one of them is waiting for an operation to complete.

Thus, multithreading is about parallelism at the OS thread level, while asynchronous is about non-blocking execution and efficient resource utilization within one or multiple threads.