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What are the best practices for parallel programming in Python?

An example of an AI chatbot conversation about best practices for parallel programming in Python.

😀
You

What are the best practices for parallel programming in Python?

MagicBuddy
MagicBuddy

Some best practices include using the concurrent.futures module, avoiding shared state, and managing resources carefully.

😀
You

Can you explain how to use the concurrent.futures module?

MagicBuddy
MagicBuddy

Sure! The concurrent.futures module provides a high-level interface for asynchronously executing callables using threads or processes.

😀
You

What are the differences between using threads and processes?

MagicBuddy
MagicBuddy

Threads share the same memory space, making them lightweight but prone to issues like race conditions. Processes have separate memory, which avoids these issues but incurs more overhead.

😀
You

How can I handle exceptions in parallel tasks?

MagicBuddy
MagicBuddy

You can handle exceptions by using the Future object returned by the executor, which allows you to check for exceptions after task completion.

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