Python vs C++: Which is better for concurrency?

What are the main differences between Python and C++ when it comes to concurrency?

Python uses the Global Interpreter Lock (GIL), which can limit true parallelism, while C++ allows for multi-threading without such restrictions.

How does the GIL affect performance in Python?

The GIL can lead to performance bottlenecks in CPU-bound tasks, as only one thread can execute Python bytecode at a time.

Are there any libraries in Python that help with concurrency?

Yes, libraries like asyncio, threading, and multiprocessing can help manage concurrency in Python applications.

In what scenarios would C++ be a better choice for concurrency?

C++ is often preferred for high-performance applications, real-time systems, and scenarios requiring fine-grained control over threads.