What is parallel processing in Python?
An example of an AI chatbot conversation about parallel processing in Python.
What is parallel processing in Python?
Parallel processing in Python allows multiple processes to run simultaneously, improving performance for CPU-bound tasks.
How can I implement parallel processing in my Python code?
You can use the multiprocessing module to create parallel processes. Here's a simple example: from multiprocessing import Pool.
Are there any libraries that can help with parallel processing?
Yes, libraries like concurrent.futures, joblib, and Dask are great for simplifying parallel processing in Python.
What are the benefits of using parallel processing?
The main benefits include faster execution times, better resource utilization, and the ability to handle large datasets more efficiently.
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