What are the differences between parallelism and concurrency in Python?
An example of an AI chatbot conversation about parallelism and concurrency in Python.
What are the differences between parallelism and concurrency in Python?
Parallelism involves executing multiple tasks simultaneously, while concurrency is about managing multiple tasks at once, potentially overlapping in execution.
Can you give me an example of each in Python?
Sure! For concurrency, you can use asyncio to run tasks that wait for I/O operations. For parallelism, you can use the multiprocessing module to run tasks on multiple CPU cores.
Which one is better for performance?
It depends on the task. For CPU-bound tasks, parallelism is usually better. For I/O-bound tasks, concurrency can be more efficient.
How do I implement concurrency in Python?
You can implement concurrency using the asyncio library. Define asynchronous functions with async def and use await to call them.
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