What are some libraries for parallel programming in Python?
Some popular libraries for parallel programming in Python include multiprocessing, concurrent.futures, and joblib.
Can you explain how to use the multiprocessing library?
Sure! The multiprocessing library allows you to create multiple processes. You can use the Process class to spawn new processes.
What about concurrent.futures? How is it different?
The concurrent.futures library provides a high-level interface for asynchronously executing callables. It simplifies the process of managing threads and processes.
Are there any performance considerations I should be aware of?
Yes, performance can vary based on the task. For CPU-bound tasks, multiprocessing is often better, while for I/O-bound tasks, threading or concurrent.futures may be more efficient.
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