What is the difference between parallelism and concurrency in Python?
An example of an AI chatbot conversation about parallelism vs concurrency in Python.
What is the difference 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 concurrency in Python?
Sure! You can use the asyncio library to run tasks concurrently. For example, using async def and await allows you to manage multiple I/O-bound tasks.
What about parallelism? How can I achieve that in Python?
You can achieve parallelism in Python using the multiprocessing module, which allows you to run multiple processes simultaneously, utilizing multiple CPU cores.
Are there any performance considerations I should be aware of?
Yes, parallelism can lead to overhead due to process creation and inter-process communication, while concurrency can help manage I/O-bound tasks more efficiently.
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