What are the best practices for threading in Python?
When using threading in Python, it's important to minimize shared data access, use locks, and avoid deadlocks.
Can you explain why minimizing shared data access is important?
Minimizing shared data access reduces the risk of race conditions, which can lead to unpredictable behavior in your program.
What are some common pitfalls to avoid when using threads?
Common pitfalls include not using locks properly, creating too many threads, and failing to handle exceptions in threads.
How can I effectively debug threading issues?
You can use logging to track thread activity, and tools like thread dumps to analyze the state of your threads.
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