What are the differences between process pools and threads?
Process pools and threads are both used for concurrent execution, but they have key differences. Process pools use multiple processes, while threads run within a single process.
Can you explain the advantages of using process pools?
Sure! Process pools can take advantage of multiple CPU cores, provide better isolation, and avoid issues like the Global Interpreter Lock (GIL) in Python.
What about the disadvantages of process pools?
The main disadvantages include higher memory usage and the overhead of inter-process communication, which can slow down performance.
When should I use threads instead of process pools?
Threads are generally better for I/O-bound tasks where you need to manage many tasks with less memory overhead, as they share the same memory space.
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